CleanSpark Stock Forecast - Naive Prediction

CLSK Stock  USD 13.86  0.83  6.37%   
The Naive Prediction forecasted value of CleanSpark on the next trading day is expected to be 13.34 with a mean absolute deviation of 0.78 and the sum of the absolute errors of 47.33. CleanSpark Stock Forecast is based on your current time horizon. Although CleanSpark's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of CleanSpark's systematic risk associated with finding meaningful patterns of CleanSpark fundamentals over time.
  
At this time, CleanSpark's Inventory Turnover is quite stable compared to the past year. Receivables Turnover is expected to rise to about 31.8 K this year, although the value of Payables Turnover will most likely fall to 1.54. . Common Stock Shares Outstanding is expected to rise to about 124 M this year, although the value of Net Loss is projected to rise to (49 M).

CleanSpark Cash Forecast

To forecast cash or other financial indicators, analysts must employ diverse statistical methods, techniques, and algorithms. This approach allows them to detect underlying patterns in the CleanSpark's financial statements, predicting their influence on future market prices.
 
Cash  
First Reported
2010-09-30
Previous Quarter
323.1 M
Current Value
126.1 M
Quarterly Volatility
50.1 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for CleanSpark is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of CleanSpark value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

CleanSpark Naive Prediction Price Forecast For the 30th of November

Given 90 days horizon, the Naive Prediction forecasted value of CleanSpark on the next trading day is expected to be 13.34 with a mean absolute deviation of 0.78, mean absolute percentage error of 1.34, and the sum of the absolute errors of 47.33.
Please note that although there have been many attempts to predict CleanSpark Stock 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 CleanSpark's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CleanSpark Stock Forecast Pattern

Backtest CleanSparkCleanSpark Price PredictionBuy or Sell Advice 

CleanSpark Forecasted Value

In the context of forecasting CleanSpark's Stock 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. CleanSpark's downside and upside margins for the forecasting period are 5.67 and 21.00, respectively. We have considered CleanSpark'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
13.86
13.34
Expected Value
21.00
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of CleanSpark stock data series using in forecasting. Note that when a statistical model is used to represent CleanSpark stock, 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 Criteria118.4008
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7759
MAPEMean absolute percentage error0.0674
SAESum of the absolute errors47.327
This model is not at all useful as a medium-long range forecasting tool of CleanSpark. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict CleanSpark. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for CleanSpark

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CleanSpark. Regardless of method or technology, however, to accurately forecast the stock 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, anticipate that the market will even out over time. This tendency of CleanSpark'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.
Hype
Prediction
LowEstimatedHigh
5.8213.4921.16
Details
Intrinsic
Valuation
LowRealHigh
2.9510.6218.29
Details
Bollinger
Band Projection (param)
LowMiddleHigh
9.5913.4117.24
Details
6 Analysts
Consensus
LowTargetHigh
9.1910.1011.21
Details

Other Forecasting Options for CleanSpark

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

CleanSpark 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 CleanSpark stock to make a market-neutral strategy. Peer analysis of CleanSpark could also be used in its relative valuation, which is a method of valuing CleanSpark by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

CleanSpark 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 CleanSpark'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 CleanSpark's current price.

CleanSpark Market Strength Events

Market strength indicators help investors to evaluate how CleanSpark stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CleanSpark shares will generate the highest return on investment. By undertsting and applying CleanSpark stock market strength indicators, traders can identify CleanSpark entry and exit signals to maximize returns.

CleanSpark Risk Indicators

The analysis of CleanSpark's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in CleanSpark's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cleanspark stock prices, 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 investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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When determining whether CleanSpark is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if CleanSpark Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Cleanspark Stock. Highlighted below are key reports to facilitate an investment decision about Cleanspark Stock:
Check out Historical Fundamental Analysis of CleanSpark to cross-verify your projections.
For more information on how to buy CleanSpark Stock please use our How to buy in CleanSpark Stock guide.
You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of CleanSpark. If investors know CleanSpark will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about CleanSpark listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.99)
Revenue Per Share
1.788
Quarterly Revenue Growth
1.287
Return On Assets
0.022
Return On Equity
(0.15)
The market value of CleanSpark is measured differently than its book value, which is the value of CleanSpark that is recorded on the company's balance sheet. Investors also form their own opinion of CleanSpark's value that differs from its market value or its book value, called intrinsic value, which is CleanSpark's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because CleanSpark's market value can be influenced by many factors that don't directly affect CleanSpark's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between CleanSpark's value and its price as these two are different measures arrived at by different means. Investors typically determine if CleanSpark is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, CleanSpark'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.