62e32fc655
Complete rewrite — replaces the ML-based signal optimizer with a transparent on-chain metric monitoring dashboard. Scrapes 10 metrics from LookIntoBitcoin (Playwright) and free APIs, scores each 0-10, composite 0-100. Metrics: Fear & Greed, Puell Multiple, MVRV Z-Score, Drawdown from ATH, Price vs 200W SMA, Reserve Risk, RHODL Ratio, NUPL, LTH Realized Price, Hash Ribbons. Auto-refreshes every 15 minutes. Settings page preserved. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
35 lines
968 B
Python
35 lines
968 B
Python
"""Fear & Greed Index from alternative.me API."""
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import logging
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import requests
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log = logging.getLogger(__name__)
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FNG_URL = "https://api.alternative.me/fng/?limit=30"
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def fetch():
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"""Fetch Fear & Greed data. Returns dict with value, classification, and recent history."""
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try:
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resp = requests.get(FNG_URL, timeout=15)
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resp.raise_for_status()
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data = resp.json()
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entries = data.get("data", [])
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if not entries:
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return {"value": None, "error": "No data"}
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current = entries[0]
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value = int(current["value"])
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classification = current.get("value_classification", "")
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recent = [int(e["value"]) for e in entries[:30]]
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return {
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"value": value,
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"classification": classification,
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"recent": recent,
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}
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except Exception as e:
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log.error("Fear & Greed fetch error: %s", e)
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return {"value": None, "error": str(e)}
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