WHAT IT ANSWERS
这张表适合回答什么
- 跟踪社交讨论热度和方向
- 构建舆情变化与价格联动指标
DATASET · social
social.wsb_mentions_arcticshift
这是社交热度与情绪中的“WSB 提及与方向情绪”数据集;一行由 instrument_id、mention_date 定位,主要字段包括 code、snapshot_date、mentions、rank、sentiment。
snapshot_dateWHAT IT ANSWERS
GRAIN & TIME
KEY FIELDS
instrument_idmention_dateRECOMMENDED 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
instrument_id, mention_dateinstrument_id, mention_datecanonical_final_activecode→ code · stringinstrument_id→ instrument_id · integerprovider→ provider · stringsnapshot_date→ snapshot_date · stringsource→ source · 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/social/wsb_mentions_arcticshift/rows?limit=100&code=AAPL"from friends_data_api import FriendsDataClient, Settings
async with FriendsDataClient(Settings.from_env()) as client:
page = await client.get_dataset_rows('social', 'wsb_mentions_arcticshift', limit=100, filters={'code': 'AAPL'})
print(page.data)
if page.has_more:
print("next cursor:", page.next_cursor)friends-data get-dataset-rows social wsb_mentions_arcticshift --limit 100 --filter code=AAPL{
"arguments": {
"dataset": "wsb_mentions_arcticshift",
"filters": {
"code": "AAPL"
},
"limit": 100,
"namespace": "social"
},
"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 | instrument_id | UInt64 | integer | no | filter, default_order, warehouse_primary_key, contract_unique_key | WarrenHub canonical instrument identifier; use it for cross-dataset joins.标准术语表 |
| 2 | code | String | string | no | filter | Source-normalized security or contract code.标准术语表 |
| 3 | snapshot_datedate | Date | string / date | no | time, filter | Calendar date for snapshot date (YYYY-MM-DD).名称推导 |
| 4 | mention_datedate | Date | string / date | no | default_order, warehouse_primary_key, contract_unique_key | Calendar date for mention date (YYYY-MM-DD).名称推导 |
| 5 | mentions | UInt32 | integer | no | value | Source-normalized field: mentions.名称推导 |
| 6 | rank | Int32 | integer | no | value | One-based or source-defined rank within the row's cohort.标准术语表 |
| 7 | sentiment | Nullable(Float64) | number | yes | value | Source-normalized field: sentiment.名称推导 |
| 8 | subreddit | LowCardinality(String) | string | no | value | Source-normalized field: subreddit.名称推导 |
| 9 | source | LowCardinality(String) | string | no | filter, provenance | Normalized upstream source identifier.标准术语表 |
| 10 | provider | LowCardinality(String) | string | no | filter, provenance | Upstream data provider identifier.标准术语表 |
| 11 | parser_version | LowCardinality(String) | string | no | provenance | Version of the parser or normalizer that produced the row.标准术语表 |
| 12 | ingest_run_id | String | string | no | provenance | Identifier of the ingestion run that produced the row.标准术语表 |
| 13 | version | UInt64 | integer | no | provenance | Monotonic row version used for correction-aware reads.标准术语表 |
| 14 | is_deleted | UInt8 | integer | no | value | Soft-delete marker; public serving excludes current tombstones.标准术语表 |
| 15 | ingested_atUTC_datetime | DateTime64(3, 'UTC') | string / date-time | no | provenance | UTC timestamp when the source record entered the warehouse.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。