ichimoku

Automates Ichimoku five-line system TK crossover and cloud-trend signal generation using numpy and pandas.

Updated Jun 30, 2026
One-click install
npx skills add https://github.com/20YN04/vibe-trading-macos --skill ichimoku-20yn04
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ichimoku
Source: https://github.com/20YN04/vibe-trading-macos/tree/main/agent/src/skills/ichimoku
Command: npx skills add https://github.com/20YN04/vibe-trading-macos --skill ichimoku-20yn04

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill addresses the complexity of manual technical analysis by automating the calculation of the five-line Ichimoku system and applying rigorous trend-filtering logic to identify high-probability trading opportunities.

Core Features & Use Cases

  • Five-Line System Calculation: Automatically computes Tenkan-sen, Kijun-sen, Senkou Span A/B, and Chikou Span.
  • Triple-Filter Signal Generation: Validates signals using TK crossovers, price-cloud positioning, and cloud direction to reduce false positives.
  • Use Case: A trader can use this to scan multiple crypto assets for strong buy or sell signals based on established Japanese technical analysis standards without manual charting.

Quick Start

Use the ichimoku skill to generate trading signals for the BTC-USDT pair using the latest market data.

Frequently Asked Questions about ichimoku

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

FAQPage Schema
How do I generate trading signals using Ichimoku Kinko Hyo?

To generate trading signals using Ichimoku Kinko Hyo, you apply a triple-filter logic that validates TK crossovers, price-cloud positioning, and cloud direction to identify high-probability trend entries and exits. This removes the complexity of manual charting.

What is the best way to calculate the five-line Ichimoku system for crypto assets?

The best way to calculate the five-line Ichimoku system is by automating the computation of Tenkan-sen, Kijun-sen, Senkou Span A/B, and Chikou Span. This approach uses vectorized computation to scan multiple crypto assets for strong buy or sell signals without manual charting.

Can I use pandas and numpy for technical analysis of financial time-series data?

Yes, you can use pandas and numpy for technical analysis of financial time-series data. They provide the vectorized computation and data processing capabilities required to calculate complex technical indicators and identify market trends efficiently.

Does cloud direction and price positioning improve trend identification accuracy?

Yes, cloud direction and price positioning improve trend identification accuracy by acting as rigorous trend filters. Validating signals against the cloud reduces false positives that occur when relying solely on basic crossover strategies.

When should I not use TK crossovers for entry and exit strategy development?

You should not use TK crossovers for entry and exit strategy development when market conditions are ranging or choppy. Without strong cloud-based trend filtering, bare crossovers frequently generate false positive signals in low-momentum environments.