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A股季节性规律/日历效应分析 (a-share-seasonal-pattern) · aifinlab | DecimalAI

financeby aifinlab

A股季节性规律/日历效应分析 (a-share-seasonal-pattern)

aifinlab/a-share-seasonal-pattern

Source aifinlab/finclaw ↗License Apache-2.0

A股季节性规律/日历效应。当用户说"季节性"、"日历效应"、"春季躁动"、"红十月"、"五穷六绝七翻身"、"开门红"、"年末效应"、"seasonal"、"XX月一般怎么样"、"节前效应"、"两会行情"时触发。分析A股市场的历史月度/节假日/事件季节性规律，评估当前时间节点的统计概率优势，辅助择时决策。支持研报风格（formal）和快速参考风格（brief）。

NewMaintained

Automatic

Finance & Accounting pack

Last verified 8/28/2026

What it changes

Passed 5 of 13 test cases with the skill, and 6 of 13 without it.

Without skill46%

With skill42%

Checks it passed that the model alone missed

Includes the formal disclaimer text.
Passes `--freq monthly` in the command.
Specifies `--freq daily` in the script command.

and 4 more in the full report

5 fixed5 passed either way8 still failing6 broke

Pass-rate lift: -4 pp
Tokens: +30%
Agent turns: 0%
Response time: +7%

Model gemini-3.6-flashMeasured 8/28/2026v110 of 24 cases passed with skill · 13 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/aifinlab-a-share-seasonal-pattern/SKILL.md https://app.decimal.ai/s/aifinlab-a-share-seasonal-pattern/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add aifinlab-a-share-seasonal-pattern, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/aifinlab-a-share-seasonal-pattern/ and pins it in .decimal/skills.lock

decimalai skills add aifinlab-a-share-seasonal-pattern

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/aifinlab-a-share-seasonal-pattern/SKILL.md https://app.decimal.ai/s/aifinlab-a-share-seasonal-pattern/SKILL.md

Raw file: /s/aifinlab-a-share-seasonal-pattern/SKILL.md ↗ · machine-readable summary at /s/aifinlab-a-share-seasonal-pattern.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 5

Prompt

我想通过命令行拉取上证指数和沪深300近15年的日K线数据来做统计，请给出正确的脚本命令表达。

What was checked, without and with the skill
Checked	Without skill	With skill
Uses python script execution syntax with target index code SH000001.	Passed	Passed
Specifies `--freq daily` in the script command.	Missed	Passed

case-16 · gemini-3.6-flash · 8/28/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md71 lines2 files

A股季节性规律/日历效应分析 (a-share-seasonal-pattern)

数据获取

SCRIPTS="$SKILLS_ROOT/cn-stock-data/scripts"

# 拉取上证指数近10年以上历史日K线（将 START 替换为10年前日期 YYYYMMDD）
python "$SCRIPTS/cn_stock_data.py" kline --code SH000001 --freq daily --start START

# 沪深300/创业板指同期数据
python "$SCRIPTS/cn_stock_data.py" kline --code SH000300,SZ399006 --freq daily --start START

# 月K线（用于快速统计月度收益率）
python "$SCRIPTS/cn_stock_data.py" kline --code SH000001,SH000300,SZ399006 --freq monthly --start START

补充数据通过 web 搜索获取：历史日历效应统计研报、节假日前后涨跌概率、两会/中央经济工作会议时间表、当前宏观政策环境。

Workflow

识别当前时间节点 — 确认当前月份、距最近节假日/重要会议的天数（春节/两会/国庆/中央经济工作会议/财报披露季等）
拉取历史数据 — 获取至少10年（推荐15-20年）的大盘指数日K线/月K线数据
统计分析 — 计算各月平均收益率、中位数收益率、上涨概率（正收益年份占比）、平均最大回撤、收益率标准差；绘制月度收益率热力图/箱线图（文字描述）
特殊效应检验 — 针对当前时点相关的经典效应做历史回测（如春季躁动、五穷六绝、红十月、节前效应等），计算效应成立的概率和平均超额收益
输出当前时点概率参考 — 综合统计结论+当前宏观环境，给出概率判断和置信度评估，明确标注统计局限性

风格切换

默认 brief；用户说"详细分析/完整报告/formal"时用 formal。

维度	formal	brief
篇幅	2-3 页	半页
月度统计	全部12个月详细数据表	仅当前及相邻月份
效应检验	多个效应完整回测	当前最相关的1-2个效应
行业季节性	分行业季节性排名	仅提当季强势行业
历史对比	类似宏观环境年份对比	省略
免责声明	需要	不需要

Track record

Benchmark

5 / 13

test cases passed, vs 6 / 13 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

aifinlab / finclaw

skills/a-share-seasonal-pattern/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1Bundled 1 file

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

A股季节性规律/日历效应分析 (a-share-seasonal-pattern)

数据获取

Workflow

风格切换

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills