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technical-basic

Generate composite trading signals from technical indicators using pandas and numpy.

1|Updated Jun 23, 2026
Search Tags:#market analysis#technical analysis#trading strategy#trading signals#composite signals
One-click install
npx skills add https://github.com/644408071-design/Kokpop --skill technical-basic-644408071-design
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: technical-basic
Source: https://github.com/644408071-design/Kokpop/tree/main/agent/src/skills/technical-basic
Command: npx skills add https://github.com/644408071-design/Kokpop --skill technical-basic-644408071-design

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the generation of composite trading signals using a collection of core technical indicators, helping traders make informed decisions with ease.

Core Features & Use Cases

  • Technical Indicator Collection: Includes trend indicators (EMA/ADX), mean-reversion indicators (BB/RSI), and volume-price indicators (OBV/volume ratio).
  • Composite Signal Engine: Combines indicators into a three-dimensional voting mechanism to generate buy, sell, or stand aside signals.
  • Use Case: A trader can use this Skill to analyze market trends and generate signals for potential trading opportunities.

Quick Start

Instantiate the SignalEngine and pass the OHLCV data to generate signals for the given data set.

Frequently Asked Questions about technical-basic

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

FAQPage Schema
How do I generate composite trading signals from OHLCV data?▼

You can generate composite trading signals by instantiating the SignalEngine and passing your OHLCV data to it. The engine processes market data to output buy, sell, or stand aside signals based on a three-dimensional voting mechanism.

What technical indicators are used for market trend analysis and mean-reversion?▼

Market trend analysis and mean-reversion utilize core technical indicators including EMA and ADX for trends, Bollinger Bands and RSI for mean-reversion, alongside OBV and volume ratio for volume-price dynamics.

Do I need pandas and numpy to run technical analysis scripts?▼

Yes, you need pandas and numpy to run these technical analysis scripts. The Skill requires pandas and numpy for data processing, alongside the requests library for API interactions to handle market data.

How does the composite signal engine combine indicators into trading signals?▼

The composite signal engine combines indicators through a three-dimensional voting mechanism. It evaluates trend, mean-reversion, and volume-price indicators to generate actionable buy, sell, or stand aside trading signals.

Can I use this Skill for volume-price dynamics and trading strategy backtesting?▼

Yes, you can use this Skill for volume-price dynamics and trading strategy backtesting. It applies to trading strategies requiring analysis of market trends, mean-reversion, and volume-price dynamics using OHLCV data.

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