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Cross-Asset Market Sentiment & Fear/Greed Intelligence

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Cross-Asset Market Sentiment & Fear/Greed Intelligence

Cross-Asset Market Sentiment & Fear/Greed Intelligence

Real-time psychological market indices, Stock & Crypto Fear & Greed gauges, CBOE Put/Call ratios, VIX term curve indicators, cross-asset correlation matrices, and stablecoin market cap liquidity flows.

Pricing

Pay per usage

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Developer

khalid naami

khalid naami

Maintained by Community

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2

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a day ago

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Cross-Asset Market Sentiment & Fear/Greed Intelligence ๐Ÿ”ฎ๐Ÿ“Š

Cross-Asset Market Sentiment Intelligence is a quantitative sentiment analysis Actor on Apify. It extracts and models psychological indices, equity & cryptocurrency Fear & Greed gauges, option Put/Call volume ratios, 90-day Pearson cross-asset correlation matrices, multi-horizon benchmark performance matrices, and on-chain circulating stablecoin liquidity flows.


๐ŸŒŸ Key Features

  1. Stock Market Fear & Greed Index (0-100):

    • Market Momentum: S&P 500 relative to 125-day moving average.
    • Market Volatility (VIX): VIX relative to 50-day moving average.
    • Safe Haven Demand: 20-day return spread between Equities (SPY) and Gold (GLD).
    • Junk Bond Demand: 20-day return spread between High-Yield Debt (JNK) and Investment-Grade Corporate Debt (LQD).
    • Put/Call Ratio: Real-time options chain put vs call volume ratio.
  2. Crypto Market Fear & Greed Index (0-100):

    • Retail Fear & Greed: Alternative.me retail psychological index.
    • Bitcoin Momentum: BTC price relative to 125-day moving average.
    • ETH/BTC Relative Strength: Ratio relative to 50-day moving average.
    • Bitcoin Volatility: 20-day annualized rolling volatility.
  3. Global Cross-Asset Sentiment Composite:

    • Weighted composite index ($0-100$) classifying overall market psychology into Extreme Fear, Fear, Neutral, Greed, or Extreme Greed.
  4. Macro-Crypto Pearson Correlation Matrix:

    • 90-day rolling correlation coefficient matrix between Bitcoin, Ethereum, Solana, S&P 500, Gold, Crude Oil, and the US Dollar Index (UUP/DXY).
  5. Multi-Horizon Benchmark Performance Matrix:

    • Real-time percentage returns across 1W, 1M, 3M, 6M, YTD, 1Y for key equity (SPX, SPY, QQQ, IWM) and crypto (BTC, ETH, SOL, BNB) benchmarks.
  6. Circulating Stablecoin Supply & Liquidity Flows:

    • Tracks total circulating stablecoin supply ($B) from DeFiLlama paired with Bitcoin price to identify leading liquidity inflows into risk assets.

๐Ÿ“ฅ Input Configuration

ParameterTypeDefaultDescription
includeStockSentimentbooleantrueCalculate equity sentiment index and underlying 5 drivers.
includeCryptoSentimentbooleantrueCalculate crypto sentiment index and underlying 4 drivers.
includeCorrelationMatrixbooleantrueCompute 90-day Pearson correlation matrix across assets.
includeStablecoinSupplybooleantrueTrack circulating stablecoin market cap vs Bitcoin price.
includeBenchmarkPerformancebooleantrueCompute multi-horizon performance comparison table.
historyDaysinteger30Number of daily historical sentiment records to output (7โ€“365).

๐Ÿ“ค Output Schema

{
"recordType": "CROSS_ASSET_SENTIMENT_DOSSIER",
"globalSentimentScore": 62.4,
"globalClassification": "Greed ๐Ÿค‘",
"stockSentimentScore": 65.8,
"stockClassification": "Greed ๐Ÿค‘",
"cryptoSentimentScore": 59.0,
"cryptoClassification": "Greed ๐Ÿค‘",
"marketMomentumScore": 72.4,
"vixScore": 68.1,
"safeHavenScore": 60.5,
"junkBondScore": 62.2,
"putCallRatioScore": 65.0,
"retailCryptoFngScore": 58.0,
"bitcoinMomentumScore": 64.2,
"ethBtcStrengthScore": 52.0,
"bitcoinVolatilityScore": 61.8,
"stablecoinSupplyBillions": 182.54,
"stockIndicatorsBreakdown": { ... },
"cryptoIndicatorsBreakdown": { ... },
"benchmarkPerformance": { ... },
"macroCorrelationMatrix": { ... }
}

๐Ÿš€ Local Run

$uv run --with apify --with pandas --with numpy --with yfinance --with requests --with pytz --with python-dateutil python -m src.main