090°Données ouvertes
Jeux de données ouverts, entièrement documentés — interrogeables ici, et lisibles par n’importe quel LLM.
Les titres et les descriptions proviennent des sources de données, en anglais.
2 jeux de données
US Bank Lending Standards (SLOOS via FRED, keyless)
Quarterly US bank lending-standards panel, 1990-Q2 onward, from the Federal Reserve's Senior Loan Officer Opinion Survey (SLOOS) via keyless FRED fredgraph.csv: net percentages of domestic banks tightening standards for C&I loans to large/middle-market firms (DRTSCILM) and to small firms (DRTSCIS). Each quarter carries both net percentages, the large-minus-small spread (flight-to-quality gauge), quarter-on-quarter and year-on-year changes, 4-quarter moving averages, 4-year z-scores, tightening / broad-tightening / credit-crunch flags, a documented 0-100 credit-conditions score, and a deterministic row hash. One row per quarter; join keys: year_quarter, country_code=USA. Who joins this: sales teams join credit_conditions_score on quarter to weight B2B pipeline by credit availability; subscription businesses use broad_tightening_flag as a churn-risk regime input; demand forecasters use the large-small spread as a credit-crunch early warning.
US Bank Lending Standards Signals (derived)
Quarterly US credit-conditions signals derived from FRED's Senior Loan Officer Opinion Survey (SLOOS): net percentages of banks tightening lending standards for C&I loans, with quarter-on-quarter and year-on-year changes in percentage points, 30-quarter annualized change volatility, 1-quarter momentum, 3-sigma anomaly flags vs a trailing 12-quarter baseline, naive-drift 1-quarter forecasts, a per-quarter cross-series volatility rank, tightening regime flags with 4-year z-scores, and the large-firm minus small-firm tightening spread (the flight-to-quality gauge). All rows are normalized to country_code USA so they join cleanly with US macro data. Raw series: Federal Reserve Bank of St. Louis (FRED); underlying survey: Board of Governors of the Federal Reserve System.
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