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101,581 tools. Last updated 2026-04-09 19:10
  • Analyze market sentiment with key indicators: CNN Fear & Greed Index, Market RSI, and VIX. Provides clear, formatted insights into current trends and volatility for informed financial decisions.
    Python
    MIT
  • Analyze CNN Fear & Greed Index trends over specified days to determine the latest value, average, trend direction, and data points for informed financial decision-making.
    Python
    MIT
  • Retrieve historical CNN Fear & Greed Index data for a specified period. Analyze market sentiment trends by accessing past Fear & Greed Index values for informed financial decision-making.
    Python
    MIT
  • Get the current VIX (CBOE Volatility Index) alongside the CNN Fear & Greed composite index, with historical context showing whether current fear levels are extreme (contrarian buy) or extreme greed (contrarian sell). Use this tool when: - A trading agent wants to assess market risk temperature before taking positions - You need a quick single-metric read on whether the market is fearful or complacent - A risk management agent is calibrating position sizes based on volatility regime - An agent wants to detect contrarian opportunities (extreme fear = buy the dip opportunities) Returns: VIX (current, 30d_avg, 52w_high), fear_greed_index (0-100), fear_greed_label (EXTREME_FEAR/FEAR/NEUTRAL/GREED/EXTREME_GREED), historical_context, signal. Example: getFearIndex({ format: "summary" }) → VIX 28.4, Fear & Greed 18 (EXTREME FEAR) — historically bullish signal. Cost: $0.005 USDC per call.
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    A Model Context Protocol server that provides real-time CNN Fear & Greed Index data for the US stock market, including current sentiment scores and historical comparisons.
    Last updated 7 months ago
    1
    18
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