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ichimoku

Calculate Ichimoku Kinko Hyo indicators and generate trading signals from OHLCV data.

Updated Jul 29, 2026
Search Tags:#finance#signals#pandas#technical analysis#trading#ichimoku
One-click install
npx skills add https://github.com/santoosaraujo/vibe-trading-claude --skill ichimoku-santoosaraujo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ichimoku
Source: https://github.com/santoosaraujo/vibe-trading-claude/tree/main/.claude/skills/ichimoku
Command: npx skills add https://github.com/santoosaraujo/vibe-trading-claude --skill ichimoku-santoosaraujo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, requests, and includes references (resource) components.

What problem does it solve?

This skill removes the manual complexity of calculating the five-line Ichimoku system, allowing traders to identify trend reversals and entry points without performing repetitive technical analysis.

Core Features & Use Cases

  • Five-Line System Calculation: Automatically computes Tenkan-sen, Kijun-sen, Senkou Spans, and Chikou Span.
  • Signal Filtering: Applies a triple-filter logic (TK crossover, cloud position, and cloud direction) to ensure high-quality trade signals.
  • Use Case: Use this skill to scan a portfolio of assets for strong buy or sell signals based on the Ichimoku Kinko Hyo strategy, filtering out noise by ensuring price is confirmed by the cloud.

Quick Start

Use the ichimoku skill to generate trading signals for the provided market data map.

Frequently Asked Questions about ichimoku

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate Ichimoku Kinko Hyo indicators for OHLCV market data?▼

Calculate Ichimoku trading signals by computing Tenkan-sen, Kijun-sen, Senkou Spans, and Chikou Span from OHLCV market data. The skill applies a triple-filter logic using TK crossovers and cloud position to generate high-quality buy or sell signals.

How does the TK crossover and cloud filter work for trading signals?▼

The TK crossover and cloud filter works by applying a triple-filter logic to generate trading signals. It confirms TK crossovers against the cloud position and cloud direction, ensuring price action is validated by the Ichimoku cloud before signaling trend reversals.

Can I use pandas and numpy for vectorized Ichimoku signal generation?▼

Yes, you can use pandas and numpy for vectorized Ichimoku signal generation. The skill depends on pandas and numpy to perform vectorized time-series calculations and evaluate signal states across quantitative OHLCV market data efficiently.

What is the best way to scan a portfolio for Ichimoku trend-following signals?▼

The best way to scan a portfolio for Ichimoku trend-following signals is to process the provided market data map through the skill. It filters out market noise by ensuring price trends are confirmed by the cloud, outputting strong buy or sell signals based on the strategy.

Do I need to manually calculate Senkou Spans and Chikou Span for technical analysis?▼

No, you do not need to manually calculate Senkou Spans and Chikou Span for technical analysis. The skill removes manual complexity by automatically computing the five-line Ichimoku system, allowing you to identify trend reversals without repetitive calculations.

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