Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR/USD, GBP/USD, USD/JPY, etc.). Analyzes sentiment and provides trading context.
Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR/USD, GBP/USD, USD/JPY, etc.). Analyzes sentiment and provides trading context.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Analyze major FOREX pairs using Yahoo Finance data: news, market data, sentiment analysis.
User asks about FOREX pairs (EUR/USD, GBP/USD, USD/JPY, etc.) User wants latest FOREX news or market sentiment User needs fundamental analysis for currency trading User asks "What's happening with EUR/USD?" or similar
7 Major Pairs: EUR/USD 🇪🇺🇺🇸 (Euro Dollar) GBP/USD 🇬🇧🇺🇸 (Cable) USD/JPY 🇺🇸🇯🇵 (Dollar Yen) USD/CHF 🇺🇸🇨🇭 (Swissy) AUD/USD 🇦🇺🇺🇸 (Aussie) USD/CAD 🇺🇸🇨🇦 (Loonie) NZD/USD 🇳🇿🇺🇸 (Kiwi)
python3 scripts/fetch_forex_news.py EURUSD --limit 10 Output: { "pair": "EURUSD", "current_rate": 1.10250, "change_pct": 0.136, "news": [ { "title": "ECB maintains hawkish stance on rates", "published": "2026-02-02 14:30:00", "publisher": "Reuters" } ], "sentiment": { "pair_sentiment": 3, "recommendation": "BUY" } }
User: "What's happening with EUR/USD?" Your Action: Run: python3 scripts/fetch_forex_news.py EURUSD --limit 8 Parse the JSON output Analyze the sentiment and news Provide a summary with: Current rate and change Key news headlines Sentiment analysis (bullish/bearish) Trading context (support/resistance if available)
The script automatically calculates sentiment based on keywords: Bullish Keywords: strengthens, rallies, hawkish, rate hike, growth Bearish Keywords: weakens, falls, dovish, rate cut, recession Sentiment Score: Positive (> 2): Bullish for the pair Negative (< -2): Bearish for the pair Near zero: Neutral
Always include: Fundamentals: What central banks are doing (ECB, Fed, BoJ, etc.) News Impact: How recent news affects the pair Technical Context: Current price vs support/resistance (if available)
Usage: python3 scripts/fetch_forex_news.py <PAIR> [--limit N] Arguments: <PAIR>: Currency pair (EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD) --limit N: Number of news articles to fetch (default: 10, max: 50) Output Fields: pair: Currency pair code current_rate: Current exchange rate change_pct: 24h percentage change news[]: Array of news articles title: Article headline published: Publication timestamp publisher: News source link: Article URL (optional) sentiment: Sentiment analysis pair_sentiment: Sentiment score (-10 to +10) recommendation: BUY/SELL/HOLD
python3 scripts/fetch_forex_news.py EURUSD --limit 5
python3 scripts/fetch_forex_news.py GBPUSD --limit 8
When analyzing FOREX pairs, consider these central banks: EUR/USD: ECB (European Central Bank) vs Fed (Federal Reserve) GBP/USD: BoE (Bank of England) vs Fed USD/JPY: Fed vs BoJ (Bank of Japan) USD/CHF: Fed vs SNB (Swiss National Bank) AUD/USD: RBA (Reserve Bank of Australia) vs Fed USD/CAD: Fed vs BoC (Bank of Canada) NZD/USD: RBNZ (Reserve Bank of New Zealand) vs Fed
Always fetch news first before making analysis Check sentiment score to understand market bias Read headlines to identify key drivers Consider fundamentals (interest rates, economic data, geopolitics) Provide balanced analysis - acknowledge both bullish and bearish factors Mention risk factors - volatility, upcoming events, technical levels
See /references directory for: api-examples.md: Detailed usage examples forex-pairs.md: Complete pairs reference with Yahoo Finance symbols sentiment-guide.md: Sentiment calculation methodology
News data may have slight delays (1-5 minutes) Sentiment is keyword-based, not deep NLP analysis Historical data limited to recent news (last 7-14 days typically) No real-time tick data (only periodic updates)
Script fails to run: Ensure Python 3.7+ is installed Install yfinance: pip install yfinance>=0.2.40 No news returned: Check internet connection Verify pair symbol is correct Try different pair or reduce limit Rate data missing: Yahoo Finance API may be temporarily unavailable Try again in a few minutes
For issues or questions: GitHub: https://github.com/nazimboudeffa/openclaw-yahoo-finance-forex Report bugs via GitHub Issues
Data access, storage, extraction, analysis, reporting, and insight generation.
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