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The only working Python library for CNN's Fear & Greed Index — powered by CNN's internal API, not scraping.

Project description

CNN

CNN Fear & Greed Index

The only Python library that actually works.

Fetch real-time CNN Fear & Greed Index data with full historical data and all 7 indicators — powered by CNN's internal API, not fragile web scraping.

PyPI Python License: MIT

Installation · Quick Start · CLI · API Reference · Indicators


Why This Library?

Every other CNN Fear & Greed library on PyPI is broken. They rely on HTML scraping that breaks whenever CNN updates their website — and CNN has redesigned it multiple times since 2022.

This library uses CNN's internal data API directly — the same one that powers their official page. That means:

  • It actually works (no scraping, no Selenium, no browser automation)
  • All 7 indicators with individual scores, not just the overall index
  • 1 year of daily history (~251 trading days) in a single API call
  • Fast — one lightweight JSON request, no HTML parsing
  • No API key needed
import fear_greed

fear_greed.get()
# {'score': 14.59, 'rating': 'extreme fear', 'history': {'1w': 22.63, ...}, 'indicators': {...}}

Comparison

Feature fear-greed fear-and-greed fear-greed-index
Works in 2025+ Yes No No
Method Internal API Scraping Scraping
Current score Yes Yes Yes
All 7 indicators Yes No Partial
Historical data 1 year No No
CLI tool Yes No No
Last updated 2026 2022 2022

Installation

pip install fear-greed

Requires Python 3.9+ and requests.


Quick Start

import fear_greed

# Get everything in one call
data = fear_greed.get()
print(data['score'])      # 14.59
print(data['rating'])     # 'extreme fear'
print(data['history'])    # {'1w': 22.63, '1m': 44.41, '3m': 54.89, '6m': 56.77, '1y': 21.69}
print(data['indicators']) # All 7 indicators with scores and ratings

# Just the score
fear_greed.get_score()    # 14.59

# Just the rating
fear_greed.get_rating()   # 'extreme fear'

# Historical data (last 3 months)
fear_greed.get_history(last="3m")
# [{'date': '2026-03-20', 'score': 14.59, 'rating': 'extreme fear'}, ...]

# Date range
fear_greed.get_history(start="2025-06-01", end="2025-12-31")

CLI

# Current score + all indicators + history snapshots
fear-greed

# Historical data
fear-greed history                             # Full year (~251 days)
fear-greed history --last 30                   # Last 30 days
fear-greed history --last 3m                   # Last 3 months
fear-greed history --start 2025-06-01          # From a date
fear-greed history --start 2025-06 --end 2025-12  # Date range

# What each indicator means
fear-greed info

# Compact output (single line JSON)
fear-greed --compact

Example Output

$ fear-greed
{
  "score": 14.59,
  "rating": "extreme fear",
  "timestamp": "2026-03-20T23:59:51+00:00",
  "history": {
    "1w": 22.63,
    "1m": 44.41,
    "3m": 54.89,
    "6m": 56.77,
    "1y": 21.69
  },
  "indicators": {
    "market_momentum_sp500": { "score": 1.2, "rating": "extreme fear" },
    "stock_price_strength":  { "score": 18.0, "rating": "extreme fear" },
    "stock_price_breadth":   { "score": 5.2, "rating": "extreme fear" },
    "put_call_options":      { "score": 3.6, "rating": "extreme fear" },
    "market_volatility_vix": { "score": 40.74, "rating": "fear" },
    "junk_bond_demand":      { "score": 19.4, "rating": "extreme fear" },
    "safe_haven_demand":     { "score": 13.8, "rating": "extreme fear" }
  }
}

API Reference

fear_greed.get() -> dict

Returns the full Fear & Greed snapshot: current score, history comparisons (1w/1m/3m/6m/1y), and all 7 indicator scores.

fear_greed.get_history(last=None, start=None, end=None) -> list

Returns daily historical data as a list of {date, score, rating} dicts, sorted newest-first.

Parameter Type Example Description
last str "30", "7d", "2w", "3m" Recent period
start str "2025-06-01" Start date
end str "2025-12-31" End date

fear_greed.get_score() -> float

Returns the current index score (0–100).

fear_greed.get_rating() -> str

Returns the current rating: "extreme fear", "fear", "neutral", "greed", or "extreme greed".

fear_greed.fetch() -> dict

Returns the raw API response for advanced use.


Indicators

The Fear & Greed Index is calculated from 7 market indicators. Each is scored 0–100.

Indicator Measures Fear Signal Greed Signal
Market Momentum S&P 500 vs 125-day moving average Below average Above average
Stock Price Strength NYSE 52-week highs vs lows More lows More highs
Stock Price Breadth McClellan Volume Summation Index Low/negative volume High rising volume
Put/Call Options 5-day average put/call ratio Ratio > 1 (bearish) Ratio < 1 (bullish)
Market Volatility VIX vs 50-day moving average Rising VIX Falling VIX
Safe Haven Demand 20-day stock vs bond returns Bonds outperform Stocks outperform
Junk Bond Demand Junk vs investment grade yield spread Wider spread Narrower spread

Run fear-greed info for detailed descriptions.


Disclaimer

This project is not affiliated with CNN or Warner Bros. Discovery. Data is fetched from CNN's publicly accessible API. For the official index, visit CNN Fear & Greed Index.

This tool is for educational and research purposes. It is not financial advice.


License

MIT

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