skills/tushare-data-1.0.5/references/数据接口/股票数据/特色数据/股票技术面因子.md
wangyitong a65adcc2e5 Initial commit: merged, deduplicated, and vetted skill collection
Sources: extracted from two upstream archives (skill-repo, skills-main),
merged with the following policy:

- 15 broken symlinks (pointing to /Users/jameslee/.cc-switch/skills or
  ../../.agents/skills on a foreign machine) discarded
- 3 real name collisions with identical content (ai-pair, ifind-http-api,
  zhipu-websearch) kept as one copy
- Functional overlaps deduped keeping the strongest variant:
  - docx family: kept docx (official, full toolchain) + docx-cn
    (GB/T 9704 Chinese official-document constants),
    dropped docx_writer (no scripts, name collided with docx)
  - humanizer family: kept humanizer-zh (6 zh reference docs),
    dropped humanizer (en, redundant for CN workflow)
- Skills that only ran in a foreign environment removed:
  ablemind-ops, app-publish, hlb-design-system, openclaw-adj-skill,
  claude-driver
- alphapai excluded from this public repo because its SKILL.md hard-coded
  live credentials

Result: 25 skills, 572 files, ~7.5 MB.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-13 14:47:12 +08:00

95 lines
3.2 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

## 股票技术因子(量化因子)
----
接口stk_factor
描述获取股票每日技术面因子数据用于跟踪股票当前走势情况数据由Tushare社区自产覆盖全历史
限量单次最大10000条可以循环或者分页提取
积分5000积分每分钟可以请求100次8000积分以上每分钟500次具体请参阅[积分获取办法](https://tushare.pro/document/1?doc_id=13)
注:
1、本接口的前复权行情是从最新一个交易日开始往前复权是历史当日的数据快照数据不更新
2、pro_bar接口的前复权是动态复权即以end_date参数开始往前复权与本接口会存在不一致的可能
3、本接口技术指标都是基于前复权价格计算
<br>
<br>
**输入参数**
名称 | 类型 | 必选 | 描述
---- | ----- | ---- | ----
ts_code | str | N | 股票代码
trade_date | str | N | 交易日期 yyyymmdd下同
start_date | str | N | 开始日期
end_date | str | N | 结束日期
<br>
<br>
**输出参数**
名称 | 类型 | 默认显示 | 描述
--- | ---- | ---- | ----
ts_code | str | Y | 股票代码
trade_date | str | Y | 交易日期
close | float | Y | 收盘价
open | float | Y | 开盘价
high | float | Y | 最高价
low | float | Y | 最低价
pre_close | float | Y | 昨收价
change | float | Y | 涨跌额
pct_change | float | Y | 涨跌幅
vol | float | Y | 成交量 (手)
amount | float | Y | 成交额 (千元)
adj_factor | float | Y | 复权因子
open_hfq | float | Y | 开盘价后复权
open_qfq | float | Y | 开盘价前复权
close_hfq | float | Y | 收盘价后复权
close_qfq | float | Y | 收盘价前复权
high_hfq | float | Y | 最高价后复权
high_qfq | float | Y | 最高价前复权
low_hfq | float | Y | 最低价后复权
low_qfq | float | Y | 最低价前复权
pre_close_hfq | float | Y | 昨收价后复权
pre_close_qfq | float | Y | 昨收价前复权
macd_dif | float | Y | MCAD_DIF (基于前复权价格计算,下同)
macd_dea | float | Y | MCAD_DEA
macd | float | Y | MCAD
kdj_k | float | Y | KDJ_K
kdj_d | float | Y | KDJ_D
kdj_j | float | Y | KDJ_J
rsi_6 | float | Y | RSI_6
rsi_12 | float | Y | RSI_12
rsi_24 | float | Y | RSI_24
boll_upper | float | Y | BOLL_UPPER
boll_mid | float | Y | BOLL_MID
boll_lower | float | Y | BOLL_LOWER
cci | float | Y | CCI
**接口用法**
```python
pro = ts.pro_api()
df = pro.stk_factor(ts_code='600000.SH', start_date='20220501', end_date='20220520', fields='ts_code,trade_date,macd,kdj_k,kdj_d,kdj_j')
```
**数据样例**
ts_code trade_date macd kdj_k kdj_d kdj_j
0 600000.SH 20220520 0.027 72.966 64.718 89.46
1 600000.SH 20220519 0.015 63.615 60.594 69.656
2 600000.SH 20220518 0.023 67.645 59.084 84.766
3 600000.SH 20220517 0.025 68.134 54.804 94.794
4 600000.SH 20220516 0.014 60.309 48.139 84.649
5 600000.SH 20220513 0.006 55.328 42.054 81.877
6 600000.SH 20220512 -0.022 37.046 35.417 40.306
7 600000.SH 20220511 -0.027 33.948 34.602 32.64
8 600000.SH 20220510 -0.03 30.652 34.929 22.098
9 600000.SH 20220509 -0.029 28.029 37.067 9.952
10 600000.SH 20220506 -0.018 37.498 41.587 29.321
11 600000.SH 20220505 -0.004 48.139 43.631 57.155