WHAT IT ANSWERS
这张表适合回答什么
- 查询历史或盘中价格与成交
- 构建行情、波动率和衍生品特征
DATASET · market
market.screener_result_eodhd
这是价格、成交、报价与衍生品行情中的“EODHD 股票筛选结果”数据集;一行由 screener_slug、run_date、rank 定位,主要字段包括 instrument_id、symbol、market、market_capitalization、earnings_share。
updated_atWHAT IT ANSWERS
GRAIN & TIME
KEY FIELDS
instrument_idrun_datescreener_slugrankRECOMMENDED JOINS
ref.instrumenton instrument_id用 instrument_id 补充证券代码、名称、市场、交易所和资产类型。
HOW TO QUERY SAFELY
先用 catalog 确认当前契约;可按 catalog 中列出的 filters 进一步缩小范围;单页最多 5000 行,响应有 has_more 时原样传回 next_cursor 继续分页。
MACHINE CONTRACT
screener_slug, run_date, rankscreener_slug, run_date, rankcanonical_final_activeinstrument_id→ instrument_id · integermarket→ market · stringprovider→ provider · stringsymbol→ symbol · stringPOINT IN TIME
该资产没有 PIT 契约。普通 rows 端点仍按当前公开读模式返回数据;不要把它表述成历史时点快照。
COPY-READY CALLS
同一数据集可用 HTTP、Python SDK、CLI 或 MCP;Key 始终只通过环境变量/Bearer Header 传递。
curl --fail-with-body -H "Authorization: Bearer $FRIENDS_DATA_API_KEY" "https://api.alphahubs.uk/api/v1/data/datasets/market/screener_result_eodhd/rows?limit=100&instrument_id=1"from friends_data_api import FriendsDataClient, Settings
async with FriendsDataClient(Settings.from_env()) as client:
page = await client.get_dataset_rows('market', 'screener_result_eodhd', limit=100, filters={'instrument_id': 1})
print(page.data)
if page.has_more:
print("next cursor:", page.next_cursor)friends-data get-dataset-rows market screener_result_eodhd --limit 100 --filter instrument_id=1{
"arguments": {
"dataset": "screener_result_eodhd",
"filters": {
"instrument_id": 1
},
"limit": 100,
"namespace": "market"
},
"tool": "get_dataset_rows"
}FIELD DICTIONARY
descriptionSource 可在 JSON 中区分仓库注释、标准术语表和名称推导说明。
| # | 字段 | ClickHouse 类型 | JSON | 可空 | 角色 | 说明 |
|---|---|---|---|---|---|---|
| 1 | screener_slug | LowCardinality(String) | string | no | default_order, warehouse_primary_key, contract_unique_key | Source-normalized field: screener slug.名称推导 |
| 2 | run_datedate | Date | string / date | no | default_order, warehouse_primary_key, contract_unique_key | Calendar date for run date (YYYY-MM-DD).名称推导 |
| 3 | rank | UInt16 | integer | no | default_order, warehouse_primary_key, contract_unique_key | One-based or source-defined rank within the row's cohort.标准术语表 |
| 4 | instrument_id | UInt64 | integer | no | filter | WarrenHub canonical instrument identifier; use it for cross-dataset joins.标准术语表 |
| 5 | symbol | LowCardinality(String) | string | no | filter | Display or trading symbol for the instrument.标准术语表 |
| 6 | market | LowCardinality(String) | string | no | filter | Canonical market or country-market code.标准术语表 |
| 7 | market_capitalization | Nullable(Float64) | number | yes | value | Source-normalized field: market capitalization.名称推导 |
| 8 | earnings_share | Nullable(Float64) | number | yes | value | Source-normalized field: earnings share.名称推导 |
| 9 | dividend_yield | Nullable(Float64) | number | yes | value | Source-normalized field: dividend yield.名称推导 |
| 10 | sector | LowCardinality(String) | string | no | value | Source-normalized field: sector.名称推导 |
| 11 | industry | LowCardinality(String) | string | no | value | Source-normalized field: industry.名称推导 |
| 12 | raw_payload | String | string | no | value | Source-normalized field: raw payload.名称推导 |
| 13 | provider | LowCardinality(String) | string | no | filter, provenance | Upstream data provider identifier.标准术语表 |
| 14 | ingest_run_id | String | string | no | provenance | Identifier of the ingestion run that produced the row.标准术语表 |
| 15 | version | UInt64 | integer | no | provenance | Monotonic row version used for correction-aware reads.标准术语表 |
| 16 | is_deleted | UInt8 | integer | no | value | Soft-delete marker; public serving excludes current tombstones.标准术语表 |
| 17 | created_atUTC_datetime | DateTime64(3, 'UTC') | string / date-time | no | value | UTC timestamp when the warehouse row was first created.标准术语表 |
| 18 | updated_atUTC_datetime | DateTime64(3, 'UTC') | string / date-time | no | time | UTC timestamp when the warehouse row was last updated.标准术语表 |
换一个字段名、类型或角色。
结构来自 Friends 只读身份可见的真实 serving relation;权限、过滤、排序、PIT 与分页来自可执行 DatasetSpec。Schema observed at 2026-10-06T18:08:52Z。