Seasonal

OrganizationPopular

HKUDS

seasonal

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.

Overview

Publisher	HKUDS
Repository	`Vibe-Trading`
Skill name	`seasonal`
Stars	35.2K
Forks	5.7K
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by HKUDS on GitHub. Read the source before you install it.

Installation

Install the Seasonal AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/seasonal
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

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

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seasonal in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seasonal on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seasonal is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

example_signal_engine.py5 KB

Frequently asked questions

What does the Seasonal AI skill do?

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.

Why use Seasonal on TypingMind?

Because you install it once and use it with any model. Seasonal is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seasonal in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/seasonal. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Seasonal?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seasonal?

As many as you like. As long as a model supports skills, you can use Seasonal with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seasonal AI skill free?

Yes. It is published on GitHub by HKUDS under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

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

Bundled files

Frequently asked questions

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