Aurora Market Value

AURORA Crypto  USD 0.26  0.10  62.50%   
Aurora's market value is the price at which a share of Aurora trades on a public exchange. It measures the collective expectations of Aurora investors about its performance. Aurora is trading at 0.26 as of the 24th of November 2024, a 62.50% up since the beginning of the trading day. With this module, you can estimate the performance of a buy and hold strategy of Aurora and determine expected loss or profit from investing in Aurora over a given investment horizon. Check out Aurora Correlation, Aurora Volatility and Investing Opportunities module to complement your research on Aurora.
Symbol

Please note, there is a significant difference between Aurora's coin value and its market price as these two are different measures arrived at by different means. Cryptocurrency investors typically determine Aurora value by looking at such factors as its true mass adoption, usability, application, safety as well as its ability to resist fraud and manipulation. On the other hand, Aurora's price is the amount at which it trades on the cryptocurrency exchange or other digital marketplace that truly represents its supply and demand.

Aurora '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 Aurora's crypto coin 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 Aurora.
0.00
11/30/2023
No Change 0.00  0.0 
In 11 months and 27 days
11/24/2024
0.00
If you would invest  0.00  in Aurora on November 30, 2023 and sell it all today you would earn a total of 0.00 from holding Aurora or generate 0.0% return on investment in Aurora over 360 days. Aurora is related to or competes with Solana, XRP, Sui, Staked Ether, Toncoin, Worldcoin, and Avalanche. Aurora is peer-to-peer digital currency powered by the Blockchain technology.

Aurora 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 Aurora's crypto coin 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 Aurora upside and downside potential and time the market with a certain degree of confidence.

Aurora Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Aurora's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aurora's standard deviation. In reality, there are many statistical measures that can use Aurora historical prices to predict the future Aurora's volatility.
Hype
Prediction
LowEstimatedHigh
0.010.2611.55
Details
Intrinsic
Valuation
LowRealHigh
0.010.2211.51
Details
Naive
Forecast
LowNextHigh
0.010.2611.55
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.130.230.32
Details

Aurora Backtested Returns

Aurora is abnormally risky given 3 months investment horizon. Aurora secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that digital coin had a 0.14% return per unit of risk over the last 3 months. We were able to interpolate data for thirty different technical indicators, which can help you to evaluate if expected returns of 1.57% are justified by taking the suggested risk. Use Aurora Mean Deviation of 6.21, risk adjusted performance of 0.1159, and Downside Deviation of 9.56 to evaluate coin specific risk that cannot be diversified away. The crypto shows a Beta (market volatility) of 1.94, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Aurora will likely underperform.

Auto-correlation

    
  1.00  

Perfect predictability

Aurora has perfect predictability. Overlapping area represents the amount of predictability between Aurora time series from 30th of November 2023 to 28th of May 2024 and 28th of May 2024 to 24th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Aurora price movement. The serial correlation of 1.0 indicates that 100.0% of current Aurora price fluctuation can be explain by its past prices.
Correlation Coefficient1.0
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.0

Aurora lagged returns against current returns

Autocorrelation, which is Aurora crypto coin'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 Aurora's crypto coin expected returns. We can calculate the autocorrelation of Aurora returns to help us make a trade decision. For example, suppose you find that Aurora has exhibited high autocorrelation historically, and you observe that the crypto coin 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  

Aurora 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 Aurora crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aurora crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aurora crypto coin over time.
   Current vs Lagged Prices   
       Timeline  

Aurora Lagged Returns

When evaluating Aurora's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aurora crypto coin have on its future price. Aurora 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, Aurora autocorrelation shows the relationship between Aurora crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Aurora.
   Regressed Prices   
       Timeline  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Aurora offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Aurora's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Aurora Crypto.
Check out Aurora Correlation, Aurora Volatility and Investing Opportunities module to complement your research on Aurora.
You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Aurora technical crypto coin analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, crypto market cycles, or different charting patterns.
A focus of Aurora technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Aurora trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...