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.tick_us_trades
保存美股历史逐笔成交价格、数量、交易所、条件码和 SIP 时间;一行由 instrument_id、trade_date、sequence_number 定位,主要字段包括 code、market、trade_ts、price、size;交易时段持续更新。
trade_tsWHAT IT ANSWERS
GRAIN & TIME
KEY FIELDS
instrument_idtrade_datesequence_numberRECOMMENDED 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。
ref.calendaron market + trade_date(有 market 时)需要计算交易日偏移时联接交易日历;无 market 字段时先确定适用市场。
HOW TO QUERY SAFELY
先用 catalog 确认当前契约;必须提供 instrument_id;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, trade_date, sequence_numberinstrument_id, trade_date, sequence_numberrelation_defaultcode→ code · stringexchange→ exchange · integerinstrument_id→ instrument_id · integer · 必填market→ market · stringprovider→ provider · stringsource→ source · stringtrade_date→ trade_date · 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/tick_us_trades/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', 'tick_us_trades', 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 tick_us_trades --limit 100 --filter instrument_id=1{
"arguments": {
"dataset": "tick_us_trades",
"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 | instrument_id | UInt64 | integer | no | filter, required_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 | market | LowCardinality(String) | string | no | filter | Canonical market or country-market code.标准术语表 |
| 4 | trade_datedate | Date | string / date | no | filter, default_order, contract_unique_key | Trading-session date in the dataset's market calendar.标准术语表 |
| 5 | trade_tsUTC_datetime | DateTime64(9, 'UTC') | string / date-time | no | time, warehouse_primary_key | UTC timestamp for trade ts.名称推导 |
| 6 | sequence_number | UInt64 | integer | no | default_order, warehouse_primary_key, contract_unique_key | Source-normalized field: sequence number.名称推导 |
| 7 | price | Float64 | number | no | value | Source-normalized field: price.名称推导 |
| 8 | size | UInt32 | integer | no | value | Source-normalized field: size.名称推导 |
| 9 | exchange | UInt8 | integer | no | filter | Listing or trading exchange.标准术语表 |
| 10 | conditions | Array(UInt8) | array | no | value | Source-normalized field: conditions.名称推导 |
| 11 | tape | LowCardinality(String) | string | no | value | Source-normalized field: tape.名称推导 |
| 12 | 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 |
| 13 | source | LowCardinality(String) | string | no | filter, provenance | Normalized upstream source identifier.标准术语表 |
| 14 | provider | LowCardinality(String) | string | no | filter, provenance | Upstream data provider identifier.标准术语表 |
| 15 | license_scope | LowCardinality(String) | string | no | provenance | License or redistribution scope attached to the row.标准术语表 |
| 16 | visibility_tier | LowCardinality(String) | string | no | provenance | Serving visibility tier attached to the row.标准术语表 |
| 17 | ingest_run_id | String | string | no | provenance | Identifier of the ingestion run that produced the row.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。