crypto-news-trader

A Clawhub skill that:

3,891 stars

Best use case

crypto-news-trader is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

A Clawhub skill that:

Teams using crypto-news-trader should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/aster-skill/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/asterskillagent/aster-skill/Skill.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/aster-skill/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How crypto-news-trader Compares

Feature / Agentcrypto-news-traderStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

A Clawhub skill that:

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# crypto-news-trader

A Clawhub skill that:
1) Monitors a Twitter/news stream via **OpenNews MCP** (aka “6551 news monitoring skill”).
2) Classifies news for **BTC / ETH / SOL / BNB** as **bullish / bearish / neutral** using an LLM prompt.
3) Executes **long** (BUY) or **short** (SELL) orders on **Aster** via aster-skill client.

## Strategy Logic

### Step 1 — News Monitoring (OpenNews MCP)
- Pull latest news (last 1 hour) from configured sources (Twitter + major crypto media).
- Filter to only BTC/ETH/SOL/BNB-related stories.
- Deduplicate by article id (24h cache).

### Step 2 — Bullish/Bearish Decision
- LLM analyzes:
  - source credibility
  - event importance
  - timeliness
  - market sensitivity
- Outputs strict JSON:
  - `sentiment`: bullish | bearish | neutral
  - `confidence`: 0..1
  - `signal_strength`: strong | medium | weak
  - `recommended_action`: open_long | open_short | wait | skip

Trade rules:
- Only trade if:
  - confidence >= 0.70
  - signal_strength != weak
- Open long if sentiment=bullish and confidence >= 0.65
- Open short if sentiment=bearish and confidence >= 0.65
- Otherwise wait/skip.

### Step 3 — Order Execution on Aster
- Set leverage (default 5x)
- Place MARKET order
- Attach stop-loss / take-profit
- Per-coin cooldown (default 30 minutes)

## Requirements

### Install OpenNews MCP (6551)
This skill declares the MCP in `skill.json`, and expects it to be installed via:

```bash
npx clawhub install opennews-mcp

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