DATASET · fundamental

分析师预期修订

fundamental.analyst_estimate_revision

财务与估值

这是财务报表、估值与分析师预期中的“分析师预期修订”数据集；一行由 instrument_id、period_end_date、estimate_date、source_record_id 定位，主要字段包括 code、market、period、growth、earnings_estimate_avg。

下载本类 JSON 下载完整 JSON.gz 先获取 Key

字段43

关键字段4

更新口径daily

时间列estimate_date

单页上限5000

分页Cursor

PIT不支持

规模view

WHAT IT ANSWERS

这张表适合回答什么

比较公司财务与分析师预期
构建基本面筛选和历史回测输入

GRAIN & TIME

一行代表什么

业务粒度: 每行代表“分析师预期修订”的一条记录；逻辑粒度由 instrument_id × estimate_date 共同确定。
时间口径: 以 estimate_date 为主要查询时间轴；除下方限制特别说明外，时间戳按 UTC、日期按来源市场日历解释。
更新节奏: 通常按交易日或自然日更新；具体最新日期请以返回数据为准。

KEY FIELDS

先看这些字段

instrument_id: WarrenHub 统一证券标识；跨证券数据集优先用它联接。
estimate_date: estimate date 对应的日历日期。
period_end_date: period end date 对应的日历日期。
source_record_id: 用于识别 source record 的业务标识。

RECOMMENDED JOINS

怎样和其他表关联

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

查询方法与已知限制

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。

返回范围仍受 Friends 权限、单页上限和 catalog 中的筛选契约约束。

MACHINE CONTRACT

筛选、排序与分页

UNVERSIONED

默认排序: instrument_id, period_end_date, estimate_date, source_record_id
唯一键: instrument_id, period_end_date, estimate_date, source_record_id
读取模式: relation_default
最大时间窗: 未单独限制

可用 filters

code→ code · string

instrument_id→ instrument_id · integer

market→ market · string

period→ period · string

provider→ provider · string

source→ source · string

POINT IN TIME

可复现读取

NOT AVAILABLE

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

怎么调用

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。

READ ONLY

HTTP

curl --fail-with-body -H "Authorization: Bearer $FRIENDS_DATA_API_KEY" "https://api.alphahubs.uk/api/v1/data/datasets/fundamental/analyst_estimate_revision/rows?limit=100&code=TICKER"

PYTHON SDK

from friends_data_api import FriendsDataClient, Settings

async with FriendsDataClient(Settings.from_env()) as client:
    page = await client.get_dataset_rows('fundamental', 'analyst_estimate_revision', limit=100, filters={'code': 'TICKER'})
    print(page.data)
    if page.has_more:
        print("next cursor:", page.next_cursor)

CLI

friends-data get-dataset-rows fundamental analyst_estimate_revision --limit 100 --filter code=TICKER

MCP TOOL CALL

{
  "arguments": {
    "dataset": "analyst_estimate_revision",
    "filters": {
      "code": "TICKER"
    },
    "limit": 100,
    "namespace": "fundamental"
  },
  "tool": "get_dataset_rows"
}

FIELD DICTIONARY

43 个返回字段

descriptionSource 可在 JSON 中区分仓库注释、标准术语表和名称推导说明。

筛选字段

#	字段	ClickHouse 类型	JSON	可空	角色	说明
1	`instrument_id`	`UInt64`	`integer`	no	filter, default_order, 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	`period_end_date`date	`Date`	`string / date`	no	default_order, contract_unique_key	Calendar date for period end date (YYYY-MM-DD).名称推导
5	`estimate_date`date	`Date`	`string / date`	no	time, default_order, contract_unique_key	Calendar date for estimate date (YYYY-MM-DD).名称推导
6	`period`	`LowCardinality(String)`	`string`	no	filter	Reporting or observation period label.标准术语表
7	`growth`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: growth.名称推导
8	`earnings_estimate_avg`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: earnings estimate avg.名称推导
9	`earnings_estimate_low`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: earnings estimate low.名称推导
10	`earnings_estimate_high`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: earnings estimate high.名称推导
11	`earnings_estimate_year_ago`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: earnings estimate year ago.名称推导
12	`earnings_estimate_count`	`Nullable(UInt32)`	`integer`	yes	value	Count of earnings estimate count.名称推导
13	`revenue_estimate_avg`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: revenue estimate avg.名称推导
14	`revenue_estimate_low`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: revenue estimate low.名称推导
15	`revenue_estimate_high`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: revenue estimate high.名称推导
16	`revenue_estimate_year_ago`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: revenue estimate year ago.名称推导
17	`revenue_estimate_count`	`Nullable(UInt32)`	`integer`	yes	value	Count of revenue estimate count.名称推导
18	`eps_trend_current`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: eps trend current.名称推导
19	`eps_trend_7days_ago`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: eps trend 7days ago.名称推导
20	`eps_trend_30days_ago`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: eps trend 30days ago.名称推导
21	`eps_trend_60days_ago`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: eps trend 60days ago.名称推导
22	`eps_trend_90days_ago`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: eps trend 90days ago.名称推导
23	`eps_revisions_up_last7d`	`Nullable(Int32)`	`integer`	yes	value	Source-normalized field: eps revisions up last7d.名称推导
24	`eps_revisions_up_last30d`	`Nullable(Int32)`	`integer`	yes	value	Source-normalized field: eps revisions up last30d.名称推导
25	`eps_revisions_down_last30d`	`Nullable(Int32)`	`integer`	yes	value	Source-normalized field: eps revisions down last30d.名称推导
26	`publish_ts`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	provenance	UTC point-in-time availability timestamp used by PIT reads.标准术语表
27	`source_ts`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	provenance	Timestamp asserted by the upstream source.标准术语表
28	`ingested_at`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	provenance	UTC timestamp when the source record entered the warehouse.标准术语表
29	`source`	`LowCardinality(String)`	`string`	no	filter, provenance	Normalized upstream source identifier.标准术语表
30	`provider`	`LowCardinality(String)`	`string`	no	filter, provenance	Upstream data provider identifier.标准术语表
31	`source_url`	`String`	`string`	no	provenance	URL of the upstream evidence or record when distributable.标准术语表
32	`source_record_id`	`String`	`string`	no	default_order, contract_unique_key, provenance	Provider-side identifier for the source record.标准术语表
33	`raw_payload_hash`	`String`	`string`	no	provenance	Opaque fingerprint of the normalized source payload for provenance checks.标准术语表
34	`parser_version`	`LowCardinality(String)`	`string`	no	provenance	Version of the parser or normalizer that produced the row.标准术语表
35	`quality_status`	`String`	`string`	no	provenance	Machine-readable data-quality classification.标准术语表
36	`license_scope`	`String`	`string`	no	provenance	License or redistribution scope attached to the row.标准术语表
37	`visibility_tier`	`String`	`string`	no	provenance	Serving visibility tier attached to the row.标准术语表
38	`ingest_run_id`	`String`	`string`	no	provenance	Identifier of the ingestion run that produced the row.标准术语表
39	`version`	`UInt64`	`integer`	no	provenance	Monotonic row version used for correction-aware reads.标准术语表
40	`version_ts`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	provenance	UTC timestamp associated with the row version.标准术语表
41	`is_deleted`	`UInt8`	`integer`	no	value	Soft-delete marker; public serving excludes current tombstones.标准术语表
42	`created_at`UTC_datetime	`DateTime`	`string / date-time`	no	value	UTC timestamp when the warehouse row was first created.标准术语表
43	`updated_at`UTC_datetime	`DateTime`	`string / date-time`	no	value	UTC timestamp when the warehouse row was last updated.标准术语表

字典口径

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。