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.