Complete Execution Output (JSON):
{
"execution_summary": {
"completed_tasks": 2,
"dependencies_detected": false,
"end_time": "2025-07-17T05:59:16.582034",
"execution_mode": "distributed",
"start_time": "2025-07-17T05:58:29.104868",
"total_tasks": 2
},
"format_report": {
"execution_details": {
"actual_result": {
"output": "=== YAHOO FINANCE STOCK ANALYSIS REPORT ===\nGenerated: 2025-07-17 05:59:16 UTC\nSymbols Analyzed: AAPL,GOOGL,MSFT\n==================================================\n\n\ud83d\udcc8 Analysis Results:\n--------------------------------------------------\nIt appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\n\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\u2019s how you can approach the analysis:\n\n### Stock Market Analysis Framework\n\n#### 1. **Current Valuation vs Recent Performance**\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\n\n#### 2. **Price Movement Patterns**\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\n\n#### 3. **Notable Changes or Volatility**\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\n\n### Example Insights (Hypothetical)\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\n \n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\n\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\n\n### Conclusion\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\n\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\n\n\u2705 ANALYSIS COMPLETE\nAnalyzed 3 stocks\nUsing database tool resolution with tenant_id + tool_name queries\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 0.196849,
"end_time": "2025-07-17T05:59:16.558311",
"message_sent": true,
"start_time": "2025-07-17T05:59:16.361462",
"timestamp": "2025-07-17T05:59:16.558311",
"worker_executed": true,
"workers_notified": true
},
"output": "=== YAHOO FINANCE STOCK ANALYSIS REPORT ===\nGenerated: 2025-07-17 05:59:16 UTC\nSymbols Analyzed: AAPL,GOOGL,MSFT\n==================================================\n\n\ud83d\udcc8 Analysis Results:\n--------------------------------------------------\nIt appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\n\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\u2019s how you can approach the analysis:\n\n### Stock Market Analysis Framework\n\n#### 1. **Current Valuation vs Recent Performance**\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\n\n#### 2. **Price Movement Patterns**\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\n\n#### 3. **Notable Changes or Volatility**\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\n\n### Example Insights (Hypothetical)\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\n \n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\n\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\n\n### Conclusion\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\n\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\n\n\u2705 ANALYSIS COMPLETE\nAnalyzed 3 stocks\nUsing database tool resolution with tenant_id + tool_name queries\n",
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "format_report"
},
"status": "SUCCESS",
"stock_analyzer": {
"agent_type": "financial_analyst",
"ai_response": "It appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\n\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\u2019s how you can approach the analysis:\n\n### Stock Market Analysis Framework\n\n#### 1. **Current Valuation vs Recent Performance**\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\n\n#### 2. **Price Movement Patterns**\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\n\n#### 3. **Notable Changes or Volatility**\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\n\n### Example Insights (Hypothetical)\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\n \n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\n\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\n\n### Conclusion\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\n\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!",
"execution_details": {
"actual_result": {
"agent_type": "financial_analyst",
"execution_details": {
"agent_type": "financial_analyst",
"input_length": 459,
"model": "gpt-4o-mini",
"output_length": 2327,
"provider": "openai",
"system_message": "You are a professional financial analyst specializing in stock market analysis.\nYou have access to real-time stock data through Yahoo Finance tools.\n\nYour responsibilities:\n- Retrieve accurate stock price data\n- Analyze market trends and patterns\n- Provide clear insights about stock performance\n- Include timestamps with all data collection\n\nAlways start by getting the current time to timestamp your analysis.\n"
},
"input_format": "text",
"model_client_id": "finance_analyst",
"output": "It appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\n\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\u2019s how you can approach the analysis:\n\n### Stock Market Analysis Framework\n\n#### 1. **Current Valuation vs Recent Performance**\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\n\n#### 2. **Price Movement Patterns**\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\n\n#### 3. **Notable Changes or Volatility**\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\n\n### Example Insights (Hypothetical)\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\n \n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\n\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\n\n### Conclusion\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\n\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\n__OUTPUTS__ {\"ai_response\": \"It appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\\n\\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\\u2019s how you can approach the analysis:\\n\\n### Stock Market Analysis Framework\\n\\n#### 1. **Current Valuation vs Recent Performance**\\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\\n\\n#### 2. **Price Movement Patterns**\\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\\n\\n#### 3. **Notable Changes or Volatility**\\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\\n\\n### Example Insights (Hypothetical)\\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\\n \\n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\\n\\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\\n\\n### Conclusion\\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\\n\\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\", \"model_client_id\": \"finance_analyst\", \"agent_type\": \"financial_analyst\", \"model\": \"gpt-4o-mini\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 11251, \"completion_tokens\": 950, \"total_tokens\": 12201, \"estimated_cost\": {\"amount\": 0.002258, \"currency\": \"USD\"}, \"model\": \"gpt-4o-mini\", \"provider\": \"openai\"}}",
"output_format": "text",
"return_code": 0,
"status": "completed",
"stderr": "",
"token_usage": {
"completion_tokens": 950,
"estimated_cost": {
"amount": 0.002258,
"currency": "USD"
},
"model": "gpt-4o-mini",
"prompt_tokens": 11251,
"provider": "openai",
"total_tokens": 12201
}
},
"duration_seconds": 46.230296,
"end_time": "2025-07-17T05:59:16.335057",
"message_sent": true,
"start_time": "2025-07-17T05:58:30.104761",
"timestamp": "2025-07-17T05:59:16.335057",
"worker_executed": true,
"workers_notified": true
},
"model": "gpt-4o-mini",
"model_client_id": "finance_analyst",
"output": "It appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\n\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\u2019s how you can approach the analysis:\n\n### Stock Market Analysis Framework\n\n#### 1. **Current Valuation vs Recent Performance**\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\n\n#### 2. **Price Movement Patterns**\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\n\n#### 3. **Notable Changes or Volatility**\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\n\n### Example Insights (Hypothetical)\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\n \n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\n\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\n\n### Conclusion\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\n\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\n__OUTPUTS__ {\"ai_response\": \"It appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\\n\\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\\u2019s how you can approach the analysis:\\n\\n### Stock Market Analysis Framework\\n\\n#### 1. **Current Valuation vs Recent Performance**\\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\\n\\n#### 2. **Price Movement Patterns**\\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\\n\\n#### 3. **Notable Changes or Volatility**\\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\\n\\n### Example Insights (Hypothetical)\\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\\n \\n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\\n\\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\\n\\n### Conclusion\\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\\n\\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\", \"model_client_id\": \"finance_analyst\", \"agent_type\": \"financial_analyst\", \"model\": \"gpt-4o-mini\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 11251, \"completion_tokens\": 950, \"total_tokens\": 12201, \"estimated_cost\": {\"amount\": 0.002258, \"currency\": \"USD\"}, \"model\": \"gpt-4o-mini\", \"provider\": \"openai\"}}",
"provider": "openai",
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "stock_analyzer",
"token_usage": {
"completion_tokens": 950,
"estimated_cost": {
"amount": 0.002258,
"currency": "USD"
},
"model": "gpt-4o-mini",
"prompt_tokens": 11251,
"provider": "openai",
"total_tokens": 12201
}
},
"task_outputs": {
"format_report": {
"execution_details": {
"actual_result": {
"output": "=== YAHOO FINANCE STOCK ANALYSIS REPORT ===\nGenerated: 2025-07-17 05:59:16 UTC\nSymbols Analyzed: AAPL,GOOGL,MSFT\n==================================================\n\n\ud83d\udcc8 Analysis Results:\n--------------------------------------------------\nIt appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\n\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\u2019s how you can approach the analysis:\n\n### Stock Market Analysis Framework\n\n#### 1. **Current Valuation vs Recent Performance**\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\n\n#### 2. **Price Movement Patterns**\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\n\n#### 3. **Notable Changes or Volatility**\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\n\n### Example Insights (Hypothetical)\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\n \n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\n\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\n\n### Conclusion\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\n\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\n\n\u2705 ANALYSIS COMPLETE\nAnalyzed 3 stocks\nUsing database tool resolution with tenant_id + tool_name queries\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 0.196849,
"end_time": "2025-07-17T05:59:16.558311",
"message_sent": true,
"start_time": "2025-07-17T05:59:16.361462",
"timestamp": "2025-07-17T05:59:16.558311",
"worker_executed": true,
"workers_notified": true
},
"output": "=== YAHOO FINANCE STOCK ANALYSIS REPORT ===\nGenerated: 2025-07-17 05:59:16 UTC\nSymbols Analyzed: AAPL,GOOGL,MSFT\n==================================================\n\n\ud83d\udcc8 Analysis Results:\n--------------------------------------------------\nIt appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\n\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\u2019s how you can approach the analysis:\n\n### Stock Market Analysis Framework\n\n#### 1. **Current Valuation vs Recent Performance**\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\n\n#### 2. **Price Movement Patterns**\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\n\n#### 3. **Notable Changes or Volatility**\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\n\n### Example Insights (Hypothetical)\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\n \n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\n\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\n\n### Conclusion\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\n\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\n\n\u2705 ANALYSIS COMPLETE\nAnalyzed 3 stocks\nUsing database tool resolution with tenant_id + tool_name queries\n",
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "format_report"
},
"stock_analyzer": {
"agent_type": "financial_analyst",
"ai_response": "It appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\n\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\u2019s how you can approach the analysis:\n\n### Stock Market Analysis Framework\n\n#### 1. **Current Valuation vs Recent Performance**\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\n\n#### 2. **Price Movement Patterns**\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\n\n#### 3. **Notable Changes or Volatility**\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\n\n### Example Insights (Hypothetical)\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\n \n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\n\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\n\n### Conclusion\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\n\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!",
"execution_details": {
"actual_result": {
"agent_type": "financial_analyst",
"execution_details": {
"agent_type": "financial_analyst",
"input_length": 459,
"model": "gpt-4o-mini",
"output_length": 2327,
"provider": "openai",
"system_message": "You are a professional financial analyst specializing in stock market analysis.\nYou have access to real-time stock data through Yahoo Finance tools.\n\nYour responsibilities:\n- Retrieve accurate stock price data\n- Analyze market trends and patterns\n- Provide clear insights about stock performance\n- Include timestamps with all data collection\n\nAlways start by getting the current time to timestamp your analysis.\n"
},
"input_format": "text",
"model_client_id": "finance_analyst",
"output": "It appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\n\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\u2019s how you can approach the analysis:\n\n### Stock Market Analysis Framework\n\n#### 1. **Current Valuation vs Recent Performance**\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\n\n#### 2. **Price Movement Patterns**\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\n\n#### 3. **Notable Changes or Volatility**\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\n\n### Example Insights (Hypothetical)\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\n \n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\n\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\n\n### Conclusion\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\n\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\n__OUTPUTS__ {\"ai_response\": \"It appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\\n\\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\\u2019s how you can approach the analysis:\\n\\n### Stock Market Analysis Framework\\n\\n#### 1. **Current Valuation vs Recent Performance**\\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\\n\\n#### 2. **Price Movement Patterns**\\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\\n\\n#### 3. **Notable Changes or Volatility**\\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\\n\\n### Example Insights (Hypothetical)\\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\\n \\n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\\n\\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\\n\\n### Conclusion\\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\\n\\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\", \"model_client_id\": \"finance_analyst\", \"agent_type\": \"financial_analyst\", \"model\": \"gpt-4o-mini\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 11251, \"completion_tokens\": 950, \"total_tokens\": 12201, \"estimated_cost\": {\"amount\": 0.002258, \"currency\": \"USD\"}, \"model\": \"gpt-4o-mini\", \"provider\": \"openai\"}}",
"output_format": "text",
"return_code": 0,
"status": "completed",
"stderr": "",
"token_usage": {
"completion_tokens": 950,
"estimated_cost": {
"amount": 0.002258,
"currency": "USD"
},
"model": "gpt-4o-mini",
"prompt_tokens": 11251,
"provider": "openai",
"total_tokens": 12201
}
},
"duration_seconds": 46.230296,
"end_time": "2025-07-17T05:59:16.335057",
"message_sent": true,
"start_time": "2025-07-17T05:58:30.104761",
"timestamp": "2025-07-17T05:59:16.335057",
"worker_executed": true,
"workers_notified": true
},
"model": "gpt-4o-mini",
"model_client_id": "finance_analyst",
"output": "It appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\n\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\u2019s how you can approach the analysis:\n\n### Stock Market Analysis Framework\n\n#### 1. **Current Valuation vs Recent Performance**\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\n\n#### 2. **Price Movement Patterns**\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\n\n#### 3. **Notable Changes or Volatility**\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\n\n### Example Insights (Hypothetical)\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\n \n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\n\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\n\n### Conclusion\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\n\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\n__OUTPUTS__ {\"ai_response\": \"It appears that there are issues with retrieving both the current stock prices and historical data for the requested symbols (AAPL, GOOGL, MSFT). Unfortunately, I am unable to access the necessary data at this time.\\n\\nHowever, I can provide a general framework for how to analyze these stocks based on typical market analysis practices. Here\\u2019s how you can approach the analysis:\\n\\n### Stock Market Analysis Framework\\n\\n#### 1. **Current Valuation vs Recent Performance**\\n - **Current Valuation**: Look at the current price-to-earnings (P/E) ratio, market capitalization, and other valuation metrics.\\n - **Recent Performance**: Compare the current stock price to its historical prices over the past week or month to assess performance trends.\\n\\n#### 2. **Price Movement Patterns**\\n - **Trend Analysis**: Identify whether the stock is in an uptrend, downtrend, or sideways movement. Use moving averages (e.g., 50-day, 200-day) to smooth out price data.\\n - **Support and Resistance Levels**: Determine key price levels where the stock has historically found support or resistance.\\n\\n#### 3. **Notable Changes or Volatility**\\n - **Volatility Measurement**: Look at the stock\u0027s beta to assess its volatility compared to the market.\\n - **News and Events**: Consider any recent news, earnings reports, or macroeconomic factors that may have influenced stock prices.\\n\\n### Example Insights (Hypothetical)\\n- **AAPL**: If AAPL\u0027s current P/E ratio is significantly higher than its historical average, it may indicate overvaluation. Recent performance shows a decline of 5% over the past week, suggesting bearish sentiment.\\n \\n- **GOOGL**: If GOOGL has been consistently hitting new highs, it may indicate strong investor confidence. Recent news about new product launches could be driving this trend.\\n\\n- **MSFT**: If MSFT shows high volatility with a beta greater than 1, it may be more sensitive to market changes. Recent earnings reports exceeding expectations could lead to upward price movement.\\n\\n### Conclusion\\nTo perform a detailed analysis, access to real-time data is essential. If you have access to a financial data platform, you can retrieve the necessary information and apply the above framework to derive insights.\\n\\nIf you need further assistance or have specific data points you\u0027d like to analyze, please let me know!\", \"model_client_id\": \"finance_analyst\", \"agent_type\": \"financial_analyst\", \"model\": \"gpt-4o-mini\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 11251, \"completion_tokens\": 950, \"total_tokens\": 12201, \"estimated_cost\": {\"amount\": 0.002258, \"currency\": \"USD\"}, \"model\": \"gpt-4o-mini\", \"provider\": \"openai\"}}",
"provider": "openai",
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "stock_analyzer",
"token_usage": {
"completion_tokens": 950,
"estimated_cost": {
"amount": 0.002258,
"currency": "USD"
},
"model": "gpt-4o-mini",
"prompt_tokens": 11251,
"provider": "openai",
"total_tokens": 12201
}
}
}
}