Agent skill

Seasonal Calendar-Effect Strategy

Generates long, short or flat trading signals from calendar patterns such as month-of-year and day-of-week effects, for any OHLCV price data.

MITAuto-check passedBusiness, Finance & HR

Install Seasonal Calendar-Effect Strategy

skills CLI

$ npx skills add HKUDS/Vibe-Trading --skill seasonal -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install HKUDS/Vibe-Trading seasonal --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/src/skills/seasonal .claude/skills/seasonal && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "seasonal" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/seasonal into .claude/skills/seasonal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seasonal", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/seasonal

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add HKUDS/Vibe-Trading --skill seasonal -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install HKUDS/Vibe-Trading seasonal --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent/src/skills/seasonal .agents/skills/seasonal && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "seasonal" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/seasonal into .agents/skills/seasonal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seasonal", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add HKUDS/Vibe-Trading --skill seasonal -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install HKUDS/Vibe-Trading seasonal --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent/src/skills/seasonal .cursor/skills/seasonal && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "seasonal" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/seasonal into .cursor/skills/seasonal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seasonal", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/HKUDS/Vibe-Trading.git --path agent/src/skills/seasonal

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add HKUDS/Vibe-Trading --skill seasonal -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install HKUDS/Vibe-Trading seasonal --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent/src/skills/seasonal .gemini/skills/seasonal && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "seasonal" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/seasonal into .gemini/skills/seasonal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seasonal", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install HKUDS/Vibe-Trading seasonal

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add HKUDS/Vibe-Trading --skill seasonal -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent/src/skills/seasonal .github/skills/seasonal && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "seasonal" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/seasonal into .github/skills/seasonal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seasonal", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add HKUDS/Vibe-Trading --skill seasonal -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install HKUDS/Vibe-Trading seasonal --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent/src/skills/seasonal .opencode/skills/seasonal && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "seasonal" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/seasonal into .opencode/skills/seasonal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seasonal", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: seasonal
GitHub stars: 35k
Token cost: ~573 tokens
SKILL.md length: 229 words
Files: 2
Skills in repo: 89
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Generates long, short or flat trading signals from calendar patterns such as month-of-year and day-of-week effects, for any OHLCV price data.

Backtesting a month-of-year rule such as selling in May
SKILL.md covers Purpose, Signal Logic, Common Calendar Effects… and Parameters, plus 3 more sections
Runs Python scripts from its folder; calls pip
Testing whether a weekday effect shows up in a price history

What it does

This skill produces trading signals from the calendar rather than from price action. The default month mode goes long in chosen bullish months, goes short or stays out in bearish months and stays flat in all others. An optional day-of-week overlay adds Monday, Friday and start- or end-of-month effects, and a combined mode only opens a position when the month and weekday signals agree.

Parameters are lists of bullish and bearish months, a switch for weekday effects and lists of bullish and bearish weekdays, all with defaults. A reference table lists well-known effects such as the China A-share spring rally, sell in May and the year-end effect. Signals use 1 for long, -1 for short and 0 for standing aside. An `example_signal_engine.py` is included, and the notes warn about pandas month and weekday numbering and about small samples in backtests.

When your agent uses it

Backtesting a month-of-year rule such as selling in May
Testing whether a weekday effect shows up in a price history
Building a signal engine that combines month and weekday filters

Example prompts

“Backtest a sell-in-May strategy on the daily OHLCV file data/spy.csv.”
“Generate signals that go long from January to March and stay flat in other months.”
“Add a Monday-short, Friday-long overlay to my month-based seasonal signal and compare the results.”

Requirements

Python with `pandas` and `numpy`

What it can do on your machine

Read from SKILL.md and the folder at commit 8e43007. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
- pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Seasonal Calendar-Effect Strategy loads about 573 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 229 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~45
When it runs · the whole SKILL.md, loaded when a task matches: ~573

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from HKUDS/Vibe-Trading at commit 8e43007, republished under its MIT licence (© HKUDS). 229 words, ~573 tokens.

Download SKILL.mdSave it as .claude/skills/seasonal/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: seasonal
description: Seasonal/calendar-effect strategy. Generates trading signals from time-based patterns such as month-of-year effects and day-of-week effects. Suitable for any OHLCV data.
category: strategy

Seasonal / Calendar Effect Strategy

Purpose

Uses time-based regularities in financial markets (month effects, day-of-week effects, and similar patterns) to generate trading signals. Examples include the China A-share "spring rally" (January-March) and the "sell in May" effect.

Signal Logic

Month Effect (Default)

Specified bullish months → go long
Specified bearish months → go short / stay out
All other months → stay flat

Day-of-Week Effect (Optional Overlay)

Monday / Friday effects
Start-of-month / end-of-month effects

Combined Mode

Month signal × weekday signal; open a position only when both confirm.

Common Calendar Effects Reference

Effect	Description	Reference Configuration
Spring rally	Higher probability of gains in China A-shares from January to March	bullish_months=[1,2,3]
Sell in May	Weaker performance from May to October	bearish_months=[5,6,7,8,9,10]
Year-end effect	Institutional rebalancing in December	bullish_months=[11,12]
Monday effect	Lower returns on Mondays	bearish_weekdays=[0]
Friday effect	Higher returns on Fridays	bullish_weekdays=[4]

Parameters

Parameter	Default	Description
bullish_months	[1, 2, 3, 11, 12]	Bullish months
bearish_months	[5, 6, 7, 8, 9]	Bearish months
use_weekday	False	Whether to enable weekday effects
bullish_weekdays	[4]	Bullish weekdays (0=Monday, 4=Friday)
bearish_weekdays	[0]	Bearish weekdays

Common Pitfalls

pd.DatetimeIndex.month starts from 1 (1=January)
pd.DatetimeIndex.weekday starts from 0 (0=Monday, 4=Friday)
Seasonal strategies are statistical regularities, not deterministic signals, so pay attention to sample size in backtests
Neutral months (neither in bullish nor bearish) should output 0 and must not be skipped

Dependencies

bash

pip install pandas numpy

Signal Convention

1 = long (bullish window), -1 = short (bearish window), 0 = stand aside

Files

SKILL.md and 1 other file in agent/src/skills/seasonal of HKUDS/Vibe-Trading.

SKILL.md
example_signal_engine.py

Open the folder on GitHubat commit 8e43007

Compare with similar skills

Seasonal Calendar-Effect Strategy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Seasonal Calendar-Effect Strategy compared with similar skills
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Seasonal Calendar-Effect Strategy this skillHKUDS/Vibe-Trading	35k	—	~573	Automated safety check: Pass	MIT	today
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Quant Blog Writingzillionare/zillionare	322	—	~895	Automated safety check: Pass	None	today
Vectorbtagiprolabs/claude-trading-skills	410	—	~2.6k	Automated safety check: Pass	MIT	1 mo ago
Backtestinggauss314/skills	248	—	~2.4k	Automated safety check: Pass	MIT	3 mo ago
Option Pricinggauss314/skills	248	—	~4.7k	Automated safety check: Pass	MIT	3 mo ago

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Questions about Seasonal Calendar-Effect Strategy

What does Seasonal Calendar-Effect Strategy do?

Generates long, short or flat trading signals from calendar patterns such as month-of-year and day-of-week effects, for any OHLCV price data. This skill produces trading signals from the calendar rather than from price action. The default month mode goes long in chosen bullish months, goes short or stays out in bearish months and stays flat in all others.

When should I use Seasonal Calendar-Effect Strategy?

Seasonal Calendar-Effect Strategy fits situations like: backtesting a month-of-year rule such as selling in May; testing whether a weekday effect shows up in a price history; building a signal engine that combines month and weekday filters.

How do I install Seasonal Calendar-Effect Strategy in Claude Code?

Run `npx skills add HKUDS/Vibe-Trading --skill seasonal -a claude-code`. Or copy the skill folder (agent/src/skills/seasonal in HKUDS/Vibe-Trading) into .claude/skills/seasonal in your project. Claude Code loads it when a task matches its description.

How do I install Seasonal Calendar-Effect Strategy in Codex?

Run `npx skills add HKUDS/Vibe-Trading --skill seasonal -a codex`. Or copy the skill folder (agent/src/skills/seasonal in HKUDS/Vibe-Trading) into .agents/skills/seasonal in your project. Codex loads it when a task matches its description.

Can I use Seasonal Calendar-Effect Strategy in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/Vibe-Trading --skill seasonal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seasonal, .gemini/skills/seasonal, .github/skills/seasonal and .opencode/skills/seasonal in your project.

What does Seasonal Calendar-Effect Strategy need to run?

Going by SKILL.md and its folder, Seasonal Calendar-Effect Strategy needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python with `pandas` and `numpy`.

Does Seasonal Calendar-Effect Strategy access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Seasonal Calendar-Effect Strategy safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Seasonal Calendar-Effect Strategy use?

Seasonal Calendar-Effect Strategy is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Seasonal Calendar-Effect Strategy use?

About 573 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Seasonal Calendar-Effect Strategy?

Skills that share tags, products or a category with Seasonal Calendar-Effect Strategy: Tushare Data (zillionare/zillionare, 322 stars), Quant Blog Writing (zillionare/zillionare, 322 stars), Vectorbt (agiprolabs/claude-trading-skills, 410 stars) and Backtesting (gauss314/skills, 248 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Seasonal Calendar-Effect Strategy?

HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 35,163 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 10, 2026.

Source: HKUDS/Vibe-Trading on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Seasonal Calendar-Effect Strategy

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Seasonal / Calendar Effect Strategy

Purpose

Signal Logic

Month Effect (Default)

Day-of-Week Effect (Optional Overlay)

Combined Mode

Common Calendar Effects Reference

Parameters

Common Pitfalls

Dependencies

Signal Convention

Files

Compare with similar skills

Similar skills

More from HKUDS/Vibe-Trading

Related

Questions about Seasonal Calendar-Effect Strategy