Agent skill

Ichimoku Kinko Hyo Signals

by HKUDS in HKUDS/Vibe-Trading

Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas.

MITAuto-check passedBusiness, Finance & HR

Install Ichimoku Kinko Hyo Signals

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

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

GitHub CLI
$ gh skill install HKUDS/Vibe-Trading ichimoku --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/ichimoku .claude/skills/ichimoku && 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/

Facts

Skill name
ichimoku
GitHub stars
35k
Token cost
~417 tokens
SKILL.md length
162 words
Files
4 (incl. references)
Skills in repo
89
Repo updated
First seen
Licence
MIT

At a glance

Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas.

  • Generating long or short signals from Tenkan and Kijun crossovers
  • SKILL.md covers Purpose, Signal Logic, Parameters and Dependencies, plus 1 more section
  • Runs Python scripts from its folder; calls pip
  • Filtering crossover signals by cloud position and cloud direction

What it does

The skill computes the five Ichimoku lines: Tenkan-sen from a 9-period high-low midpoint, Kijun-sen from 26 periods, Senkou Span A as their average shifted forward by 26, Senkou Span B from 52 periods shifted forward by 26, and the Chikou span as the close shifted back by 26. The cloud between the two spans gives the trend structure.

Signals fire only on a Tenkan-Kijun cross. A strong buy needs a bullish cross with price above a bullish cloud and a strong sell needs a bearish cross with price below a bearish cloud; everything else stands aside. The engine needs 78 candles of warm-up, exposes the three periods and the displacement as parameters, and outputs 1, -1 or 0. An example signal engine and two reference notes on the line calculations and the signal system are included, and the code needs pandas, numpy and requests.

When your agent uses it

  • Generating long or short signals from Tenkan and Kijun crossovers
  • Filtering crossover signals by cloud position and cloud direction
  • Computing the five Ichimoku lines from price data with pandas

Example prompts

  • “Compute the Ichimoku lines for this daily price file and flag strong buy signals.”
  • “Backtest an Ichimoku TK-cross strategy with the default 9, 26 and 52 settings.”
  • “Explain why the signal engine needs 78 candles before it produces a signal.”

Requirements

  • Python with pandas, numpy and requests

What it can do on your machine

Read from SKILL.md and the folder at commit b1f6ce7. 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

Ichimoku Kinko Hyo Signals loads about 417 tokens when it runs, and up to ~893 if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 162 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~417
With references · SKILL.md plus every file in references/, read only if the agent opens them
~893

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 b1f6ce7, republished under its MIT licence (© HKUDS). 162 words, ~417 tokens.

Download SKILL.mdSave it as .claude/skills/ichimoku/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
ichimoku
description
Ichimoku Kinko Hyo five-line system signal engine. A standalone Japanese technical-analysis school that generates trading signals from Tenkan/Kijun crossovers, cloud position, and Chikou confirmation. Pure pandas implementation.
category
strategy

Ichimoku Kinko Hyo

Purpose

A standalone Japanese technical analysis framework that uses a five-line system and the cloud to provide a complete trend-evaluation structure:

LineJapaneseCalculationMeaning
Conversion lineTenkan-sen(9H+9L)/2Short-term trend
Base lineKijun-sen(26H+26L)/2Medium-term trend
Leading Span ASenkou Span A(Tenkan+Kijun)/2 shifted forward by 26Upper cloud boundary
Leading Span BSenkou Span B(52H+52L)/2 shifted forward by 26Lower cloud boundary
Lagging SpanChikou SpanClosing price shifted backward by 26Trend confirmation

Signal Logic

Signals are triggered only on TK crossover events, with three filters:

  • Strong buy: bullish TK cross + price above the cloud + bullish cloud (A > B)
  • Strong sell: bearish TK cross + price below the cloud + bearish cloud (A < B)
  • All other cases → stand aside

Warm-up requires 78 candles (52+26).

Parameters

ParameterDefaultDescription
tenkan_period9Tenkan-sen period
kijun_period26Kijun-sen period
senkou_b_period52Senkou Span B period
displacement26Forward/backward shift period

Dependencies

bash
pip install pandas numpy requests

Signal Convention

  • 1 = long, -1 = short, 0 = stand aside

© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in agent/src/skills/ichimoku of HKUDS/Vibe-Trading.

  • SKILL.md
  • example_signal_engine.py
  • references/五线计算.md
  • references/信号系统.md

Open the folder on GitHubat commit b1f6ce7

Compare with similar skills

Ichimoku Kinko Hyo Signals 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.

Ichimoku Kinko Hyo Signals compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Polymarket Tennislivetennisapi/livetennisapi-mcp152—~3kAutomated safety check: PassMIT
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Questions about Ichimoku Kinko Hyo Signals

What does Ichimoku Kinko Hyo Signals do?

Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas. The skill computes the five Ichimoku lines: Tenkan-sen from a 9-period high-low midpoint, Kijun-sen from 26 periods, Senkou Span A as their average shifted forward by 26, Senkou Span B from 52 periods shifted forward by 26, and the Chikou span as the close shifted back by 26. The cloud between the two spans gives the trend structure.

When should I use Ichimoku Kinko Hyo Signals?

Ichimoku Kinko Hyo Signals fits situations like: generating long or short signals from Tenkan and Kijun crossovers; filtering crossover signals by cloud position and cloud direction; computing the five Ichimoku lines from price data with pandas.

How do I install Ichimoku Kinko Hyo Signals in Claude Code?

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

How do I install Ichimoku Kinko Hyo Signals in Codex?

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

Can I use Ichimoku Kinko Hyo Signals 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 ichimoku -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ichimoku, .gemini/skills/ichimoku, .github/skills/ichimoku and .opencode/skills/ichimoku in your project.

What does Ichimoku Kinko Hyo Signals need to run?

Going by SKILL.md and its folder, Ichimoku Kinko Hyo Signals needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python with pandas, numpy and requests.

Does Ichimoku Kinko Hyo Signals 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 Ichimoku Kinko Hyo Signals 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 Ichimoku Kinko Hyo Signals use?

Ichimoku Kinko Hyo Signals 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 Ichimoku Kinko Hyo Signals use?

About 417 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 476 tokens, read only when the agent opens those files.

What are the alternatives to Ichimoku Kinko Hyo Signals?

Skills that share tags, products or a category with Ichimoku Kinko Hyo Signals: Tushare Data (zillionare/zillionare, 321 stars), Quant Blog Writing (zillionare/zillionare, 321 stars), WorldQuant BRAIN Alpha Research (QuantML-Research/wq-alpha-research, 407 stars) and Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ichimoku Kinko Hyo Signals?

HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 35,097 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 9, 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.