Algorand Crypto Coin Forecast - Simple Regression

ALGO
 Crypto
  

USD 0.22  0.01  4.35%   

Algorand Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Algorand historical crypto prices and determine the direction of Algorand's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Algorand historical fundamentals such as revenue growth or operating cash flow patterns.
Please continue to Historical Fundamental Analysis of Algorand to cross-verify your projections.
  
Most investors in Algorand cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Algorand's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Algorand's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Algorand price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Algorand Simple Regression Price Forecast For the 9th of December

Given 90 days horizon, the Simple Regression forecasted value of Algorand on the next trading day is expected to be 0.24 with a mean absolute deviation of 0.02464, mean absolute percentage error of 0.001176, and the sum of the absolute errors of 1.50.
Please note that although there have been many attempts to predict Algorand Crypto Coin prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Algorand's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Algorand Crypto Coin Forecast Pattern

Algorand Forecasted Value

In the context of forecasting Algorand's Crypto Coin value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Algorand's downside and upside margins for the forecasting period are 0.0022 and 6.71, respectively. We have considered Algorand's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value 0.22
0.0022
Downside
0.24
Expected Value
6.71
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Algorand crypto coin data series using in forecasting. Note that when a statistical model is used to represent Algorand crypto coin, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria111.3652
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0246
MAPEMean absolute percentage error0.079
SAESum of the absolute errors1.503
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Algorand historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Algorand

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Algorand. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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
0.010.226.69
Details
Intrinsic
Valuation
LowReal ValueHigh
0.010.216.68
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.200.260.32
Details
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.

Other Forecasting Options for Algorand

For every potential investor in Algorand, whether a beginner or expert, Algorand's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Algorand Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Algorand. Basic forecasting techniques help filter out the noise by identifying Algorand's price trends.

Algorand Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Algorand crypto coin to make a market-neutral strategy. Peer analysis of Algorand could also be used in its relative valuation, which is a method of valuing Algorand by comparing valuation metrics with similar companies.
EthereumXRPCardanoPolygonSolanaChainlinkPolkadotUniswap Protocol TokenStaked EtherAvalancheOKBAMN Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGlobal X NASDAQ
 Risk & Return  Correlation

Algorand Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Algorand's price movements, , a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Algorand's current price.

Algorand Risk Indicators

The analysis of Algorand's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Algorand's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Algorand stock price, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Some cryptocurrency investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. However, unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Algorand in the overall investment community. So, suppose investors can accurately measure the crypto's market sentiment. In that case, they can use it for their benefit. For example, some tools provided by cryptocurrency exchanges to gauge market sentiment could be utilized to time the market in a somewhat predictable way.

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.

Moving together with Algorand

+0.65XRPXRPPairCorr
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 Historical Fundamental Analysis of Algorand to cross-verify your projections. 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

Other Tools for Algorand Crypto Coin

When running Algorand price analysis, check to measure Algorand's coin volatility and technical momentum 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 actions to predict the probability of Algorand's future price movements. You can analyze the coin against its peers and the financial market as a whole to determine factors that move Algorand's coin price. Additionally, you may evaluate how adding Algorand to your portfolios can decrease your overall portfolio volatility.
Transaction History
View history of all your transactions and understand their impact on performance
Go
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Go
Focused Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Go
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Go
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Go
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Go
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Go
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Go
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Go
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Go
ETF Directory
Find actively traded Exchange Traded Funds (ETF) from around the world
Go
Piotroski F Score
Get Piotroski F Score based on binary analysis strategy of nine different fundamentals
Go
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Go