Cleanspark Stock Statistic Functions Time Series Forecast
| CLSK Stock | USD 18.12 1.11 5.77% |
| Symbol |
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Time Series Forecast uses simple linear regression to derive CleanSpark best fit line over a given time period and plot it forward over user-defined time period.
CleanSpark Technical Analysis Modules
Most technical analysis of CleanSpark help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for CleanSpark from various momentum indicators to cycle indicators. When you analyze CleanSpark charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About CleanSpark Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CleanSpark. We use our internally-developed statistical techniques to arrive at the intrinsic value of CleanSpark based on widely used predictive technical indicators. In general, we focus on analyzing CleanSpark Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build CleanSpark's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of CleanSpark's intrinsic value. In addition to deriving basic predictive indicators for CleanSpark, we also check how macroeconomic factors affect CleanSpark price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.002324 | 5.4E-5 | 6.2E-5 | 5.9E-5 | Price To Sales Ratio | 1.03 | 2.32 | 2.67 | 2.54 |
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.
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CleanSpark pair trading
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 CleanSpark 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 CleanSpark will appreciate offsetting losses from the drop in the long position's value.CleanSpark Pair Trading
CleanSpark Pair Trading Analysis
The ability to find closely correlated positions to CleanSpark could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CleanSpark 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 CleanSpark - 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 CleanSpark to buy it.
The correlation of CleanSpark is a statistical measure of how it moves in relation to other instruments. 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 CleanSpark moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CleanSpark 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 CleanSpark 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in CleanSpark. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in state. For more information on how to buy CleanSpark Stock please use our How to buy in CleanSpark Stock guide.You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Complementary Tools for CleanSpark Stock analysis
When running CleanSpark's price analysis, check to measure CleanSpark'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 CleanSpark is operating at the current time. Most of CleanSpark's value examination focuses on studying past and present price action to predict the probability of CleanSpark's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CleanSpark's price. Additionally, you may evaluate how the addition of CleanSpark to your portfolios can decrease your overall portfolio volatility.
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Is CleanSpark's industry 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 (0.69) | Revenue Per Share 1.639 | Quarterly Revenue Growth 1.652 | Return On Assets (0.07) | Return On Equity (0.12) |
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.