An advanced BTC market analysis skill that uses multi-timeframe logic and sentiment data to generate high-probability trade signals.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install okxprediction
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install okxprediction using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is OKX Prediction Skill?
The OKX Prediction skill is a sophisticated trading intelligence layer designed for Openclaw Skills users focusing on Bitcoin (BTC). Rather than attempting to guess exact price points, it focuses on predicting market behavior and directional probabilities. It synthesizes data from the OKX exchange across multiple timeframes, ranging from 1-minute scalping intervals to 1-day trend levels, providing a comprehensive view of market dynamics.
By integrating technical analysis with sentiment indicators like funding rates and long/short ratios, this skill transforms raw market data into actionable intelligence. It provides a systematic approach to crypto trading, ensuring that every trade signal is backed by structural, emotional, and liquidity-based evidence.
OKX Prediction Skill Use Cases
- Identifying high-probability entry points for BTC short-term (1M to 1H) and daily trades.
- Evaluating market sentiment using real-time funding rates and long/short ratios to avoid overextended trends.
- Automating the scoring of trade setups based on a structured, multi-layer methodology.
- Managing risk through mandatory stop-loss calculations and objective no-trade triggers.
How OKX Prediction Skill Works
- Directional Assessment: Analyzes 1H and 1D timeframes to establish the primary market bias (Bullish, Bearish, or Neutral).
- Structural Analysis: Reviews 15M and 4H charts to identify EMA alignments, trend consistency, or range breakouts.
- Position Validation: Checks the 5M timeframe to ensure the price is at a valid support or resistance level.
- Sentiment Filtering: Evaluates funding rates and long/short ratios to detect if the market is overheated.
- Liquidity Mapping: Targets areas with high liquidation density to define potential take-profit zones.
- Trigger Execution: Monitors the 1M timeframe for final confirmation signals like higher lows or breakout stability.
- Scoring & Output: Calculates a final score (out of 100) and outputs a structured JSON signal including direction, entry type, and stop-loss.
OKX Prediction Skill Setup
To integrate this skill into your Openclaw Skills environment, ensure you have access to OKX API data. Use the following structure to initialize the analysis engine:
# Install the prediction environment
npm install @openclaw/skill-okx-prediction
# Configure your OKX data feed
openclaw configure okx-api --key YOUR_API_KEY
Ensure your data stream includes K-line data for 1D, 4H, 1H, 15M, 5M, and 1M intervals.
OKX Prediction Skill Data Schema & Taxonomy
The skill processes and generates data based on the following multi-layer architecture:
| Layer | Weight | Data Points |
|---|---|---|
| Direction | 20 | 1H/1D Highs, Lows, Moving Averages |
| Structure | 20 | 15M/4H EMA alignment, volatility contraction |
| Position | 20 | 5M Support/Resistance zones |
| Sentiment | 15 | Funding rates (>0.01 or <-0.01), Long/Short ratio |
| Liquidity | 15 | Liquidation clusters, target zones |
| Trigger | 10 | 1M Price action confirmation |
Signal Execution Rules:
- Score >= 80: Execute Trade
- Score 60-79: Watch / Observe
- Score < 60: No Trade
OKX Prediction Skill Advanced Features
- Multi-layer weighted scoring system for objective decision making.
- Automated sentiment cooling detection (contrarian indicators for funding rates > 0.01).
- Mandatory risk management hooks requiring stop-loss and target zones for every signal.
- Structural break detection to identify early reversal patterns before they hit major timeframes.
- Seamless JSON output compatible with automated execution bots on Openclaw Skills.
SKILL.md
Loading
Related Openclaw Skills
Citation Anchoring
A regression-check utility that ensures citation markers remain locked within their original subsections during content polishing.
Jianying Content & Capability Intelligence
A specialized Openclaw Skills agent for extracting and organizing public information, templates, and technical specifications from the Jianying (CapCut China) ecosystem.
Lightroom
An automated information extraction skill for organizing Adobe Lightroom product features, templates, and documentation.
Trending Toys & Pop Culture Guide
A specialized skill for discovering trending pop culture toys, designer collectibles, and curated shopping itineraries.
Marp: Markdown Presentation Ecosystem
Marp is a high-performance presentation ecosystem that converts plain Markdown files into professional slide decks, PDFs, and PowerPoint presentations.
CorpusGraph: Document ETL & Entity Relationship Engine
An advanced document ETL and entity extraction engine that turns unstructured files into a searchable relationship graph for AI agents.
Featured*
