The PyInvesting Fear and Greed Index measures market sentiment by observing the percentage of stocks across the market that are in an uptrend. Currently 81% of stocks in the market are in an uptrend and are above their 6 month exponential moving average (EMA). The CNN Fear and Greed Index consists of the deviation from average of market momentum, stock price strength, stock price breadth, put and call options, market volatility, safe haven demand, and junk bond demand with equal weightings. The index ranges from 0 to 100, with 100 representing maximum greed and 0 representing maximum fear. The Fear & Greed Index uses slowing momentum as a signal for Fear and a growing momentum for Greed. stock price strength Net new 52-week highs and lows on the NYSE Current Volatility A rise in volatility contributes to the rise of fear in the market. To measure the volatility, we make respective comparisons to the average volatility value of Bitcoin in the previous 30 and 90 days. The values on Fear and Greed Index range from 0 (extreme fear) to 100 (extreme greed). The zones on the chart and slider are separated as follows: 0-24 = Extreme Fear; 25-49 = Fear; 50-74 = Greed; 75-100 = Extreme Greed; It can be argued that when the market is approaching or in the "extreme greed" zone that traders are getting too greedy and 💡 Set the date (yyyy-mm-DD) within the URL to find the index data from the set date. Isn't it too simple? If I could fetched the JSON data in this simple way, I wouldn't have left a post. M89OvU.

fear greed index historical data