Can you take a look at the data-farm stage output and share your thoughts? Based on the AlphaFusionNet experience and upcoming needs, any pros, cons, or suggestions are welcome.
{
"exported_at": "2025-11-13T09:04:48.636343",
"total_records": 6,
"pipeline_stats": {
"health_check": {
"total_adapters": 3,
"healthy": 3,
"unhealthy": 0,
"details": [
{
"adapter_id": "price_yfinance_001",
"status": "healthy"
},
{
"adapter_id": "news_alphavantage_001",
"status": "healthy"
},
{
"adapter_id": "fundamental_fmp_001",
"status": "healthy"
}
]
},
"nan_stats": {
"nan_count": 0
},
"alignment_stats": {
"aligned_count": 6
},
"dedup_stats": {
"duplicates_removed": 0,
"unique_records": 6
},
"qa_stats": {
"qa_passed": 6,
"qa_failed": 0,
"pass_rate": "100.0%",
"issues": [],
"total_records": 6
}
},
"data": [
{
"adapter_id": "price_yfinance_001",
"symbol": "AAPL",
"vendor": "yfinance",
"data": {
"symbol": "AAPL",
"timestamp": "2025-11-13T09:04:48.611246",
"open": 150.0,
"high": 155.0,
"low": 148.0,
"close": 152.0,
"volume": 1000000,
"adjusted_close": 152.0,
"timestamp_aligned": true
},
"ingested_at": "2025-11-13T09:04:48.614222"
},
{
"adapter_id": "price_yfinance_001",
"symbol": "NVDA",
"vendor": "yfinance",
"data": {
"symbol": "NVDA",
"timestamp": "2025-11-13T09:04:48.615048",
"open": 150.0,
"high": 155.0,
"low": 148.0,
"close": 152.0,
"volume": 1000000,
"adjusted_close": 152.0,
"timestamp_aligned": true
},
"ingested_at": "2025-11-13T09:04:48.617722"
},
{
"adapter_id": "news_alphavantage_001",
"symbol": "AAPL",
"vendor": "alphavantage",
"data": {
"symbol": "AAPL",
"timestamp": "2025-11-13T09:04:48.618454",
"startdate": "2025-11-12T09:04:48.618437",
"enddate": "2025-11-13T09:04:48.618437",
"data": [
{
"title": "AAPL Stock Analysis",
"url": "https://example.com/news1",
"published_at": "2025-11-13T09:04:48.618443",
"sentiment": "positive"
},
{
"title": "AAPL Quarterly Earnings",
"url": "https://example.com/news2",
"published_at": "2025-11-13T06:04:48.618448",
"sentiment": "neutral"
}
],
"timestamp_aligned": true
},
"ingested_at": "2025-11-13T09:04:48.620706"
},
{
"adapter_id": "news_alphavantage_001",
"symbol": "NVDA",
"vendor": "alphavantage",
"data": {
"symbol": "NVDA",
"timestamp": "2025-11-13T09:04:48.621605",
"startdate": "2025-11-12T09:04:48.621585",
"enddate": "2025-11-13T09:04:48.621585",
"data": [
{
"title": "NVDA Stock Analysis",
"url": "https://example.com/news1",
"published_at": "2025-11-13T09:04:48.621594",
"sentiment": "positive"
},
{
"title": "NVDA Quarterly Earnings",
"url": "https://example.com/news2",
"published_at": "2025-11-13T06:04:48.621600",
"sentiment": "neutral"
}
],
"timestamp_aligned": true
},
"ingested_at": "2025-11-13T09:04:48.623485"
},
{
"adapter_id": "fundamental_fmp_001",
"symbol": "AAPL",
"vendor": "fmp",
"data": {
"symbol": "AAPL",
"timestamp": "2025-11-13T09:04:48.624290",
"startdate": "2024-11-13T09:04:48.624279",
"enddate": "2025-11-13T09:04:48.624279",
"data": {
"income_statement": {
"revenue": 394328000000,
"net_income": 99803000000,
"eps": 6.15
},
"balance_sheet": {
"total_assets": 352755000000,
"total_liabilities": 302083000000,
"stockholders_equity": 50672000000
},
"cash_flow": {
"operating_cash_flow": 122151000000,
"capital_expenditure": -10959000000,
"free_cash_flow": 111192000000
},
"ratios": {
"pe_ratio": 28.5,
"debt_to_equity": 5.96,
"roe": 0.196
}
},
"timestamp_aligned": true
},
"ingested_at": "2025-11-13T09:04:48.626416"
},
{
"adapter_id": "fundamental_fmp_001",
"symbol": "NVDA",
"vendor": "fmp",
"data": {
"symbol": "NVDA",
"timestamp": "2025-11-13T09:04:48.627339",
"startdate": "2024-11-13T09:04:48.627330",
"enddate": "2025-11-13T09:04:48.627330",
"data": {
"income_statement": {
"revenue": 394328000000,
"net_income": 99803000000,
"eps": 6.15
},
"balance_sheet": {
"total_assets": 352755000000,
"total_liabilities": 302083000000,
"stockholders_equity": 50672000000
},
"cash_flow": {
"operating_cash_flow": 122151000000,
"capital_expenditure": -10959000000,
"free_cash_flow": 111192000000
},
"ratios": {
"pe_ratio": 28.5,
"debt_to_equity": 5.96,
"roe": 0.196
}
},
"timestamp_aligned": true
},
"ingested_at": "2025-11-13T09:04:48.629907"
}
]
}
Can you take a look at the data-farm stage output and share your thoughts? Based on the AlphaFusionNet experience and upcoming needs, any pros, cons, or suggestions are welcome.
{ "exported_at": "2025-11-13T09:04:48.636343", "total_records": 6, "pipeline_stats": { "health_check": { "total_adapters": 3, "healthy": 3, "unhealthy": 0, "details": [ { "adapter_id": "price_yfinance_001", "status": "healthy" }, { "adapter_id": "news_alphavantage_001", "status": "healthy" }, { "adapter_id": "fundamental_fmp_001", "status": "healthy" } ] }, "nan_stats": { "nan_count": 0 }, "alignment_stats": { "aligned_count": 6 }, "dedup_stats": { "duplicates_removed": 0, "unique_records": 6 }, "qa_stats": { "qa_passed": 6, "qa_failed": 0, "pass_rate": "100.0%", "issues": [], "total_records": 6 } }, "data": [ { "adapter_id": "price_yfinance_001", "symbol": "AAPL", "vendor": "yfinance", "data": { "symbol": "AAPL", "timestamp": "2025-11-13T09:04:48.611246", "open": 150.0, "high": 155.0, "low": 148.0, "close": 152.0, "volume": 1000000, "adjusted_close": 152.0, "timestamp_aligned": true }, "ingested_at": "2025-11-13T09:04:48.614222" }, { "adapter_id": "price_yfinance_001", "symbol": "NVDA", "vendor": "yfinance", "data": { "symbol": "NVDA", "timestamp": "2025-11-13T09:04:48.615048", "open": 150.0, "high": 155.0, "low": 148.0, "close": 152.0, "volume": 1000000, "adjusted_close": 152.0, "timestamp_aligned": true }, "ingested_at": "2025-11-13T09:04:48.617722" }, { "adapter_id": "news_alphavantage_001", "symbol": "AAPL", "vendor": "alphavantage", "data": { "symbol": "AAPL", "timestamp": "2025-11-13T09:04:48.618454", "startdate": "2025-11-12T09:04:48.618437", "enddate": "2025-11-13T09:04:48.618437", "data": [ { "title": "AAPL Stock Analysis", "url": "https://example.com/news1", "published_at": "2025-11-13T09:04:48.618443", "sentiment": "positive" }, { "title": "AAPL Quarterly Earnings", "url": "https://example.com/news2", "published_at": "2025-11-13T06:04:48.618448", "sentiment": "neutral" } ], "timestamp_aligned": true }, "ingested_at": "2025-11-13T09:04:48.620706" }, { "adapter_id": "news_alphavantage_001", "symbol": "NVDA", "vendor": "alphavantage", "data": { "symbol": "NVDA", "timestamp": "2025-11-13T09:04:48.621605", "startdate": "2025-11-12T09:04:48.621585", "enddate": "2025-11-13T09:04:48.621585", "data": [ { "title": "NVDA Stock Analysis", "url": "https://example.com/news1", "published_at": "2025-11-13T09:04:48.621594", "sentiment": "positive" }, { "title": "NVDA Quarterly Earnings", "url": "https://example.com/news2", "published_at": "2025-11-13T06:04:48.621600", "sentiment": "neutral" } ], "timestamp_aligned": true }, "ingested_at": "2025-11-13T09:04:48.623485" }, { "adapter_id": "fundamental_fmp_001", "symbol": "AAPL", "vendor": "fmp", "data": { "symbol": "AAPL", "timestamp": "2025-11-13T09:04:48.624290", "startdate": "2024-11-13T09:04:48.624279", "enddate": "2025-11-13T09:04:48.624279", "data": { "income_statement": { "revenue": 394328000000, "net_income": 99803000000, "eps": 6.15 }, "balance_sheet": { "total_assets": 352755000000, "total_liabilities": 302083000000, "stockholders_equity": 50672000000 }, "cash_flow": { "operating_cash_flow": 122151000000, "capital_expenditure": -10959000000, "free_cash_flow": 111192000000 }, "ratios": { "pe_ratio": 28.5, "debt_to_equity": 5.96, "roe": 0.196 } }, "timestamp_aligned": true }, "ingested_at": "2025-11-13T09:04:48.626416" }, { "adapter_id": "fundamental_fmp_001", "symbol": "NVDA", "vendor": "fmp", "data": { "symbol": "NVDA", "timestamp": "2025-11-13T09:04:48.627339", "startdate": "2024-11-13T09:04:48.627330", "enddate": "2025-11-13T09:04:48.627330", "data": { "income_statement": { "revenue": 394328000000, "net_income": 99803000000, "eps": 6.15 }, "balance_sheet": { "total_assets": 352755000000, "total_liabilities": 302083000000, "stockholders_equity": 50672000000 }, "cash_flow": { "operating_cash_flow": 122151000000, "capital_expenditure": -10959000000, "free_cash_flow": 111192000000 }, "ratios": { "pe_ratio": 28.5, "debt_to_equity": 5.96, "roe": 0.196 } }, "timestamp_aligned": true }, "ingested_at": "2025-11-13T09:04:48.629907" } ] }