naked-k-multi-coin

Scan 10 OKX swap coins every 15 minutes for 300-bar naked-K breakout signals.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/skynet2000/naked-k-multi-coin --skill naked-k-multi-coin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: naked-k-multi-coin
Source: https://github.com/skynet2000/naked-k-multi-coin/tree/main
Command: npx skills add https://github.com/skynet2000/naked-k-multi-coin --skill naked-k-multi-coin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates multi-asset naked-K breakout analysis and trading signal generation across a curated basket of coins, reducing manual workload and decision fatigue for active traders.

Core Features & Use Cases

  • Scans 10 selected coins every 15 minutes to identify 300-bar structures, builds box ranges, and assesses quality for aggressive breakouts.
  • Supports dynamic position sizing and full-position management, including risk controls and backtestable trade logs.
  • Integrates with OKX public data and the included Python scripts to fetch data, run backtests, and produce execution-ready signals.

Quick Start

Run data collection with the fetch script and then execute the backtest to generate performance results.

Frequently Asked Questions about naked-k-multi-coin

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

FAQPage Schema
What is a naked-K breakout strategy for cryptocurrency trading?▼

A naked-K breakout strategy identifies price box ranges from 300-bar structures without lagging indicators, scanning assets every 15 minutes to aggressively execute trades when price breaches established range boundaries.

How do I backtest a multi-asset cryptocurrency breakout strategy using Python?▼

You can backtest multi-asset breakout strategies by running the included Python scripts to fetch historical OKX public data, evaluate 300-bar structures, and generate performance logs with dynamic position sizing.

Can I apply aggressive breakout signals to specific OKX perpetual swap contracts?▼

Yes, the strategy applies aggressive breakout signals to 10 predefined OKX USDT-SWAP contracts including BTC, ETH, SOL, BNB, XRP, ADA, DOGE, AVAX, TRX, and HYPE using dynamic risk management.

Does this multi-coin trading strategy require any external API keys or paid data subscriptions?▼

No, the strategy relies entirely on public OKX API data and accompanying Python scripts to fetch market data, run backtests, and produce execution-ready signals without requiring external API keys or subscriptions.

How does dynamic position sizing work for aggressive multi-asset breakout trades?▼

Dynamic position sizing adjusts trade allocation based on signal quality scores derived from 15-minute scan cadences and 300-bar structure ranges, applying full-position management and risk controls across the coin basket.

What are the limitations of using a 15-minute scan cadence for cryptocurrency breakout signals?▼

The 15-minute scan cadence limits signal detection to 300-bar structure breakouts, meaning it may miss rapid intra-interval price movements or generate delayed execution signals during extreme market volatility.