| name | news-tracker |
| description | Track crypto news, analyze sentiment, monitor events calendar, and social media for trading insights. |
| metadata | {"openclaw":{"emoji":"📰","requires":{"bins":["python3","curl"],"pip":["requests","feedparser","beautifulsoup4"]}}} |
News Tracker
Stay informed on crypto news and market sentiment.
Overview
- News Aggregation - Top crypto news sources
- Sentiment Analysis - Bullish/bearish signals from headlines
- Event Calendar - Upcoming launches, forks, etc.
- Social Monitoring - Twitter, Reddit trends
News Sources
| Source | URL | Focus |
|---|
| CoinDesk | coindesk.com | General crypto |
| CoinTelegraph | cointelegraph.com | News & analysis |
| The Block | theblock.co | Institutional |
| Decrypt | decrypt.co | DeFi, NFTs |
| CryptoSlate | cryptoslate.com | Market data |
Commands
Fetch Latest Crypto News
python3 -c "
import feedparser
feeds = [
('CoinDesk', 'https://www.coindesk.com/arc/outboundfeeds/rss/'),
('CoinTelegraph', 'https://cointelegraph.com/rss'),
]
print('📰 LATEST CRYPTO NEWS')
print('=' * 60)
for source, url in feeds:
try:
feed = feedparser.parse(url)
print(f'\\n📌 {source}')
for entry in feed.entries[:3]:
print(f' • {entry.title[:60]}...')
print(f' {entry.link}')
except Exception as e:
print(f' ⚠️ Error: {e}')
"
Search News for Specific Coin
python3 -c "
import requests
from bs4 import BeautifulSoup
coin = 'bitcoin'
url = f'https://cryptonews.com/news/{coin}-news/'
print(f'📰 NEWS SEARCH: {coin.upper()}')
print('=' * 60)
try:
response = requests.get(url, headers={'User-Agent': 'Mozilla/5.0'}, timeout=10)
soup = BeautifulSoup(response.text, 'html.parser')
# Find news items (structure may vary)
articles = soup.find_all('article', limit=5)
for article in articles:
title = article.find(['h2', 'h3', 'a'])
if title:
print(f'• {title.get_text().strip()[:70]}')
except Exception as e:
print(f'⚠️ Error fetching news: {e}')
"
Simple Sentiment Analysis
python3 -c "
import feedparser
import re
# Simple keyword-based sentiment
bullish_words = ['surge', 'rally', 'breakout', 'bullish', 'soar', 'jump', 'gain', 'rise', 'ATH', 'moon', 'pump']
bearish_words = ['crash', 'dump', 'bearish', 'plunge', 'fall', 'drop', 'fear', 'sell-off', 'decline', 'tank']
feed = feedparser.parse('https://cointelegraph.com/rss')
bullish_count = 0
bearish_count = 0
headlines = []
for entry in feed.entries[:20]:
title = entry.title.lower()
headlines.append(entry.title)
for word in bullish_words:
if word.lower() in title:
bullish_count += 1
break
for word in bearish_words:
if word.lower() in title:
bearish_count += 1
break
total = bullish_count + bearish_count
if total > 0:
bullish_pct = (bullish_count / total) * 100
bearish_pct = (bearish_count / total) * 100
else:
bullish_pct = bearish_pct = 50
print('📊 NEWS SENTIMENT ANALYSIS')
print('=' * 60)
print(f'Headlines analyzed: {len(headlines)}')
print(f'Bullish signals: {bullish_count}')
print(f'Bearish signals: {bearish_count}')
print()
# Visual bar
bar_len = 40
bull_bar = int(bullish_pct / 100 * bar_len)
print(f'🟢 Bullish [{\"█\" * bull_bar}{\"░\" * (bar_len - bull_bar)}] {bullish_pct:.0f}%')
print(f'🔴 Bearish [{\"█\" * (bar_len - bull_bar)}{\"░\" * bull_bar}] {bearish_pct:.0f}%')
print()
if bullish_pct > 60:
print('📈 Overall Sentiment: BULLISH')
elif bearish_pct > 60:
print('📉 Overall Sentiment: BEARISH')
else:
print('⚪ Overall Sentiment: NEUTRAL')
"
Crypto Events Calendar
python3 -c "
import requests
from datetime import datetime
# Using CoinMarketCal API (free tier)
url = 'https://api.coinmarketcal.com/v1/events'
# Mock data for demo (API requires key)
events = [
{'title': 'Bitcoin Halving', 'date': '2028-04-XX', 'coin': 'BTC', 'impact': 'High'},
{'title': 'Ethereum Dencun Upgrade', 'date': '2024-03-13', 'coin': 'ETH', 'impact': 'High'},
{'title': 'SEC ETF Decision', 'date': '2024-05-XX', 'coin': 'BTC', 'impact': 'High'},
]
print('📅 CRYPTO EVENTS CALENDAR')
print('=' * 60)
# You can also check: https://coinmarketcal.com/en/
print('Sources: coinmarketcal.com, coingecko.com/en/events')
print()
for event in events:
impact_emoji = '🔥' if event['impact'] == 'High' else '📌'
print(f'{impact_emoji} [{event[\"coin\"]}] {event[\"title\"]}')
print(f' Date: {event[\"date\"]}')
print()
"
Twitter/X Crypto Trends
python3 -c "
import requests
# Note: Twitter API requires authentication
# This uses web scraping alternatives
print('🐦 CRYPTO TWITTER TRENDS')
print('=' * 60)
print('⚠️ Twitter API requires authentication')
print()
print('Manual check URLs:')
print('• https://twitter.com/search?q=%23bitcoin')
print('• https://twitter.com/search?q=%23ethereum')
print('• https://twitter.com/search?q=%24BTC')
print()
print('Top Crypto Influencers to Follow:')
print('• @WuBlockchain - News')
print('• @whale_alert - Large transactions')
print('• @santaboreal - Market analysis')
"
Reddit Crypto Sentiment
python3 -c "
import requests
# Reddit API (no auth for public data)
subreddits = ['cryptocurrency', 'bitcoin', 'ethereum']
print('🔴 REDDIT CRYPTO SENTIMENT')
print('=' * 60)
for sub in subreddits:
try:
url = f'https://www.reddit.com/r/{sub}/hot.json?limit=5'
headers = {'User-Agent': 'KIT-Bot/1.0'}
response = requests.get(url, headers=headers, timeout=10)
data = response.json()
print(f'\\n📌 r/{sub}')
for post in data['data']['children'][:3]:
title = post['data']['title'][:60]
score = post['data']['score']
print(f' [{score:>5}⬆] {title}...')
except Exception as e:
print(f' ⚠️ Error: {e}')
"
Whale Alert Monitor
curl -s "https://api.whale-alert.io/v1/status" | python3 -c "
import sys
import json
# Note: Whale Alert API requires API key for full access
# Free tier: limited to status endpoint
print('🐋 WHALE ALERT')
print('=' * 60)
print('Large crypto transactions tracker')
print()
print('Website: https://whale-alert.io')
print('Twitter: @whale_alert')
print()
print('Types of alerts:')
print('• Large BTC/ETH transfers')
print('• Exchange inflows/outflows')
print('• Whale wallet movements')
print()
print('⚠️ Full API requires subscription')
"
Daily News Digest
python3 -c "
import feedparser
from datetime import datetime
sources = [
('CoinDesk', 'https://www.coindesk.com/arc/outboundfeeds/rss/'),
('CoinTelegraph', 'https://cointelegraph.com/rss'),
]
print(f'📰 DAILY CRYPTO DIGEST - {datetime.now().strftime(\"%Y-%m-%d\")}')
print('=' * 60)
all_news = []
for source, url in sources:
try:
feed = feedparser.parse(url)
for entry in feed.entries[:5]:
all_news.append({
'source': source,
'title': entry.title,
'link': entry.link,
'published': entry.get('published', '')
})
except:
pass
# Sort by recency (if dates available)
print()
for i, news in enumerate(all_news[:10], 1):
print(f'{i}. [{news[\"source\"]}] {news[\"title\"][:55]}...')
print()
print('📊 Market Overview Links:')
print('• https://www.coingecko.com/')
print('• https://coinmarketcap.com/')
print('• https://alternative.me/crypto/fear-and-greed-index/')
"
Workflow
Daily News Routine
- Morning - Check Fear & Greed Index
- Review - Top headlines from aggregators
- Twitter - Whale alerts, influencer posts
- Events - Upcoming catalyst calendar
- Reddit - Community sentiment
News Impact Assessment
| Event Type | Potential Impact | Action |
|---|
| ETF approval | Very High | Prepare positions |
| Exchange hack | High (negative) | Risk-off |
| Protocol upgrade | Medium | Research |
| Partnership | Low-Medium | Monitor |
| Regulatory news | Variable | Analyze |
Sentiment Signals
| Signal | Meaning | Trading Implication |
|---|
| Extreme Fear (< 20) | Market oversold | Potential buy zone |
| Fear (20-40) | Uncertainty | Cautious |
| Neutral (40-60) | Balanced | Normal trading |
| Greed (60-80) | Optimism | Take some profits |
| Extreme Greed (> 80) | Euphoria | High risk, reduce exposure |
Alert Keywords
Monitor headlines for:
- Bullish: approval, adoption, institutional, breakthrough
- Bearish: hack, regulation, ban, lawsuit, dump
- Neutral: update, announce, launch, report
