Algorand Market Value

ALGO
 Crypto
  

USD 0.35  0.01  2.94%   

Algorand's market value is the price at which a share of Algorand stock trades on a public exchange. It measures the collective expectations of Algorand investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Algorand and determine expected loss or profit from investing in Algorand over a given investment horizon. Please continue to Bitcoin Browser, Algorand Correlation, Portfolio Optimization, Algorand Volatility, as well as analyze Investing Opportunities and Algorand Performance.
Symbol
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Please note, there is a significant difference between Algorand's value and its price as these two are different measures arrived at by different means. Investors typically determine Algorand value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Algorand's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Algorand '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 Algorand'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 Algorand.
0.00
03/30/2022
No Change 0.00  0.0 
In 3 months and 1 day
06/28/2022
0.00
If you would invest  0.00  in Algorand on March 30, 2022 and sell it all today you would earn a total of 0.00 from holding Algorand or generate 0.0% return on investment in Algorand over 90 days. Algorand is related to or competes with XRP, Solana, Cardano, Polkadot, FTX Token, Avalanche, and Chainlink. Algorand is peer-to-peer digital currency powered by the Blockchain technologyMore

Algorand 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 Algorand'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 Algorand upside and downside potential and time the market with a certain degree of confidence.

Algorand Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Algorand's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Algorand's standard deviation. In reality, there are many statistical measures that can use Algorand historical prices to predict the future Algorand's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Algorand's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Algorand in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
0.020.347.85
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Intrinsic
Valuation
LowReal ValueHigh
0.020.347.85
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Please note, it is not enough to conduct a financial or market analysis of a single entity such as Algorand. Your research has to be compared to or analyzed against Algorand's peers to derive any actionable benefits. When done correctly, Algorand's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Algorand.

Algorand Backtested Returns

Algorand secures Sharpe Ratio (or Efficiency) of -0.0895, which signifies that digital coin had -0.0895% of return per unit of standard deviation over the last 2 months. Macroaxis philosophy in foreseeing the risk of any crypto is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Algorand exposes twenty-one different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Algorand mean deviation of 7.05, and Risk Adjusted Performance of (0.19) to double-check the risk estimate we provide.
The crypto shows a Beta (market volatility) of 0.8251, which signifies possible diversification benefits within a given portfolio. Let's try to break down what Algorand's beta means in this case. As returns on the market increase, Algorand returns are expected to increase less than the market. However, during the bear market, the loss on holding Algorand will be expected to be smaller as well. Even though it is essential to pay attention to Algorand historical returns, it is always good to be careful when utilizing equity current trending patterns. Our philosophy in foreseeing any crypto's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Algorand exposes twenty-one different technical indicators, which can help you to evaluate its performance.

Auto-correlation

    
  0.66  

Good predictability

Algorand has good predictability. Overlapping area represents the amount of predictability between Algorand time series from 30th of March 2022 to 14th of May 2022 and 14th of May 2022 to 28th of June 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Algorand price movement. The serial correlation of 0.66 indicates that around 66.0% of current Algorand price fluctuation can be explain by its past prices.
Correlation Coefficient0.66
Spearman Rank Test0.83
Residual Average0.0
Price Variance0.0

Algorand lagged returns against current returns

Autocorrelation, which is Algorand 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 Algorand's crypto coin expected returns. We can calculate the autocorrelation of Algorand returns to help us make a trade decision. For example, suppose you find that Algorand crypto coin has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
 Current and Lagged Values 
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Algorand 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 Algorand crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Algorand crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Algorand crypto coin over time.
 Current vs Lagged Prices 
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Algorand Lagged Returns

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

Be your own money manager

Our tools can tell you how much better you can do entering a position in Algorand without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

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Pair Trading with Algorand

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Algorand position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Algorand will appreciate offsetting losses from the drop in the long position's value.

Algorand Pair Correlation

Correlation Analysis For Direct Indexing and Tax-loss Harvesting

The ability to find closely correlated positions to Algorand could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Algorand when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Algorand - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Algorand to buy it.
The correlation of Algorand is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Algorand moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Algorand moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Algorand can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Please continue to Bitcoin Browser, Algorand Correlation, Portfolio Optimization, Algorand Volatility, as well as analyze Investing Opportunities and Algorand Performance. Note that the Algorand information on this page should be used as a complementary analysis to other Algorand's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.

Other Tools for Algorand Crypto Coin

When running Algorand price analysis, check to measure Algorand's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Algorand is operating at the current time. Most of Algorand's value examination focuses on studying past and present price action to predict the probability of Algorand's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Algorand's price. Additionally, you may evaluate how the addition of Algorand to your portfolios can decrease your overall portfolio volatility.
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