Amun Ripple (Germany) Market Value

21XP Etf   81.93  3.62  4.23%   
Amun Ripple's market value is the price at which a share of Amun Ripple trades on a public exchange. It measures the collective expectations of Amun Ripple AXRP investors about its performance. Amun Ripple is trading at 81.93 as of the 31st of January 2025, a 4.23% down since the beginning of the trading day. The etf's lowest day price was 81.89.
With this module, you can estimate the performance of a buy and hold strategy of Amun Ripple AXRP and determine expected loss or profit from investing in Amun Ripple over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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Amun Ripple 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Amun Ripple's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Amun Ripple.
0.00
01/01/2025
No Change 0.00  0.0 
In 30 days
01/31/2025
0.00
If you would invest  0.00  in Amun Ripple on January 1, 2025 and sell it all today you would earn a total of 0.00 from holding Amun Ripple AXRP or generate 0.0% return on investment in Amun Ripple over 30 days.

Amun Ripple Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Amun Ripple's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Amun Ripple AXRP upside and downside potential and time the market with a certain degree of confidence.

Amun Ripple Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Amun Ripple's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amun Ripple's standard deviation. In reality, there are many statistical measures that can use Amun Ripple historical prices to predict the future Amun Ripple's volatility.

Amun Ripple AXRP Backtested Returns

Amun Ripple is not too volatile given 3 months investment horizon. Amun Ripple AXRP secures Sharpe Ratio (or Efficiency) of 0.32, which signifies that the etf had a 0.32 % return per unit of risk over the last 3 months. We were able to interpolate data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 3.69% are justified by taking the suggested risk. Use Amun Ripple Downside Deviation of 4.52, risk adjusted performance of 0.2537, and Mean Deviation of 7.23 to evaluate company specific risk that cannot be diversified away. The etf shows a Beta (market volatility) of -0.48, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Amun Ripple are expected to decrease at a much lower rate. During the bear market, Amun Ripple is likely to outperform the market.

Auto-correlation

    
  -0.43  

Modest reverse predictability

Amun Ripple AXRP has modest reverse predictability. Overlapping area represents the amount of predictability between Amun Ripple time series from 1st of January 2025 to 16th of January 2025 and 16th of January 2025 to 31st of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Amun Ripple AXRP price movement. The serial correlation of -0.43 indicates that just about 43.0% of current Amun Ripple price fluctuation can be explain by its past prices.
Correlation Coefficient-0.43
Spearman Rank Test-0.3
Residual Average0.0
Price Variance12.12

Amun Ripple AXRP lagged returns against current returns

Autocorrelation, which is Amun Ripple etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Amun Ripple's etf expected returns. We can calculate the autocorrelation of Amun Ripple returns to help us make a trade decision. For example, suppose you find that Amun Ripple has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Amun Ripple regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Amun Ripple etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amun Ripple etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amun Ripple etf over time.
   Current vs Lagged Prices   
       Timeline  

Amun Ripple Lagged Returns

When evaluating Amun Ripple's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amun Ripple etf have on its future price. Amun Ripple autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Amun Ripple autocorrelation shows the relationship between Amun Ripple etf current value and its past values and can show if there is a momentum factor associated with investing in Amun Ripple AXRP.
   Regressed Prices   
       Timeline  

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