News Sentiment Analyzer for Openclaw

A professional tool for analyzing crypto market sentiment and generating trading signals from news and social media.

alexbrc20
v1.0.2
Mar 6, 2026
0
1.9k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install news-sentiment

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install news-sentiment 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 News Sentiment Analyzer?

The News Sentiment Analyzer is a powerful AI-driven tool designed to scan multiple information streams, including Twitter, Reddit, and global news sites, to gauge market sentiment. It leverages large language models via Dashscope to process complex text and provide actionable insights for cryptocurrency traders.

By integrating this skill into your workflow using Openclaw Skills, you can automate the process of filtering noise from high-value market data. This skill helps users identify whether specific coins or the general market are trending bullish, bearish, or neutral, allowing for data-driven decision-making in fast-paced financial environments.

News Sentiment Analyzer Use Cases

  • Monitoring real-time sentiment shifts for specific cryptocurrencies like BTC or ETH.
  • Generating automated trading signals based on news volume and sentiment intensity.
  • Setting up threshold-based alerts to stay informed of sudden market mood changes.
  • Conducting historical sentiment research to correlate news events with price movements.

How News Sentiment Analyzer Works

  1. The skill aggregates data from multiple sources including Twitter, various news APIs, and social media platforms.
  2. Collected text data is processed using the Dashscope LLM to determine a sentiment score between 0.0 and 1.0.
  3. The system categorizes the score into sentiment levels: Very Bullish, Neutral, or Very Bearish.
  4. Based on the analysis, the skill generates trading signals or triggers alerts if specific thresholds are met.
  5. Results are delivered to the user via the CLI or integrated notification systems within the Openclaw Skills framework.

News Sentiment Analyzer Setup

To get started with this skill, ensure you have python3 and curl installed on your system. You will also need a valid Dashscope API key.

# Set your API key environment variable
export DASHSCOPE_API_KEY='your_api_key_here'

# Analyze sentiment for a specific coin
/news-sentiment analyze BTC

# View general market sentiment
/news-sentiment market

News Sentiment Analyzer Data Schema & Taxonomy

The skill organizes sentiment data using a structured format to provide clarity on market positions:

Field Type Description
coin String The cryptocurrency ticker symbol (e.g., BTC, ETH)
sentiment_score Float Value from 0.0 to 1.0 indicating sentiment strength
signal String The resulting trading signal (Bullish, Bearish, or Neutral)
sources Array List of specific data sources analyzed during the request
timestamp ISO8601 The exact time the sentiment analysis was performed

News Sentiment Analyzer Advanced Features

  • Real-time push notifications and alerts for sentiment threshold breaches.
  • Multi-coin comparison tools to see which assets are trending strongest within Openclaw Skills.
  • Access to historical sentiment charts to track market mood over time.
  • Custom threshold configuration for personalized trading signal sensitivity.
  • API access for developers to integrate sentiment scores into external trading bots.

SKILL.md


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