WHAT IT ANSWERS
这张表适合回答什么
- 读取已完成的研究信号和市场状态
- 复盘信号随行情变化的结果
DATASET · research
research.daybreak_market_regime_daily
这是已经产出的研究信号与市场状态中的“Daybreak 每日市场状态”数据集;一行由 trade_date 定位,主要字段包括 label、score、context_line、top_strip_cn、axes_json。
trade_dateWHAT IT ANSWERS
GRAIN & TIME
KEY FIELDS
trade_dateRECOMMENDED JOINS
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;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
trade_datetrade_datecanonical_final_activetrade_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/research/daybreak_market_regime_daily/rows?limit=100"from friends_data_api import FriendsDataClient, Settings
async with FriendsDataClient(Settings.from_env()) as client:
page = await client.get_dataset_rows('research', 'daybreak_market_regime_daily', limit=100)
print(page.data)
if page.has_more:
print("next cursor:", page.next_cursor)friends-data get-dataset-rows research daybreak_market_regime_daily --limit 100{
"arguments": {
"dataset": "daybreak_market_regime_daily",
"filters": {},
"limit": 100,
"namespace": "research"
},
"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 | trade_datedate | Date | string / date | no | time, filter, default_order, warehouse_primary_key, contract_unique_key | Trading-session date in the dataset's market calendar.标准术语表 |
| 2 | label | LowCardinality(String) | string | no | value | Source-normalized field: label.名称推导 |
| 3 | score | Nullable(Float64) | number | yes | value | Source-normalized field: score.名称推导 |
| 4 | context_line | String | string | no | value | Source-normalized field: context line.名称推导 |
| 5 | top_strip_cn | String | string | no | value | Source-normalized field: top strip cn.名称推导 |
| 6 | axes_json | String | string | no | value | Source-normalized field: axes json.名称推导 |
| 7 | sources_json | String | string | no | value | Source-normalized field: sources json.名称推导 |
| 8 | inputs_json | String | string | no | value | Source-normalized field: inputs json.名称推导 |
| 9 | available_axes | Array(String) | array | no | value | Source-normalized field: available axes.名称推导 |
| 10 | preferred_sectors | Array(String) | array | no | value | Source-normalized field: preferred sectors.名称推导 |
| 11 | risk_notes | Array(String) | array | no | value | Source-normalized field: risk notes.名称推导 |
| 12 | producer_version | LowCardinality(String) | string | no | value | Source-normalized field: producer version.名称推导 |
| 13 | run_id | String | string | no | value | Identifier for run.名称推导 |
| 14 | version | UInt64 | integer | no | provenance | Monotonic row version used for correction-aware reads.标准术语表 |
| 15 | is_deleted | UInt8 | integer | no | value | Soft-delete marker; public serving excludes current tombstones.标准术语表 |
| 16 | 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 |
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。