Decisionpoint Stock Market Value


USD 5.65  0.85  13.08%   

Decisionpoint Systems' market value is the price at which a share of Decisionpoint Systems stock trades on a public exchange. It measures the collective expectations of Decisionpoint Systems investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Decisionpoint Systems and determine expected loss or profit from investing in Decisionpoint Systems over a given investment horizon. Continue to Decisionpoint Systems Hype Analysis, Decisionpoint Systems Correlation, Decisionpoint Systems Valuation, Decisionpoint Systems Volatility, as well as analyze Decisionpoint Systems Alpha and Beta and Decisionpoint Systems Performance.

Is Decisionpoint Systems' 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 Decisionpoint Systems. If investors know Decisionpoint 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 Decisionpoint Systems listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
Market Capitalization
46.9 M
Quarterly Revenue Growth YOY
Return On Assets
Return On Equity
The market value of Decisionpoint Systems is measured differently than its book value, which is the value of Decisionpoint that is recorded on the company's balance sheet. Investors also form their own opinion of Decisionpoint Systems' value that differs from its market value or its book value, called intrinsic value, which is Decisionpoint Systems' 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 Decisionpoint Systems' market value can be influenced by many factors that don't directly affect Decisionpoint Systems' 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 Decisionpoint Systems' value and its price as these two are different measures arrived at by different means. Investors typically determine Decisionpoint Systems value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Decisionpoint Systems' 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.

Decisionpoint Systems '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 Decisionpoint Systems' stock 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 Decisionpoint Systems.
No Change 0.00  0.0 
In 30 days
If you would invest  0.00  in Decisionpoint Systems on July 13, 2022 and sell it all today you would earn a total of 0.00 from holding Decisionpoint Systems or generate 0.0% return on investment in Decisionpoint Systems over 30 days. Decisionpoint Systems is related to or competes with Airbnb Inc, Angi, Applied Blockchain, Arena, Autohome Inc, Autoweb, and Baidu Inc. Decisionpoint Systems, Inc. provides and integrates enterprise mobility and wireless applications solutions that deliver...More

Decisionpoint Systems 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 Decisionpoint Systems' stock 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 Decisionpoint Systems upside and downside potential and time the market with a certain degree of confidence.

Decisionpoint Systems Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Decisionpoint Systems' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Decisionpoint Systems' standard deviation. In reality, there are many statistical measures that can use Decisionpoint Systems historical prices to predict the future Decisionpoint Systems' volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Decisionpoint Systems' 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 Decisionpoint Systems in the context of predictive analytics.
LowEstimated ValueHigh
LowReal ValueHigh
LowNext ValueHigh
Band Projection (param)
LowerMiddle BandUpper
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Decisionpoint Systems. Your research has to be compared to or analyzed against Decisionpoint Systems' peers to derive any actionable benefits. When done correctly, Decisionpoint Systems' 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 Decisionpoint Systems.

Decisionpoint Systems Backtested Returns

Decisionpoint Systems is dangerous given 3 months investment horizon. Decisionpoint Systems secures Sharpe Ratio (or Efficiency) of 0.0952, which denotes the company had 0.0952% of return per unit of standard deviation over the last 3 months. Our philosophy in predicting the risk of a stock is to use both market data as well as company specific technical data. We are able to interpolate and collect twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.17% are justified by taking the suggested risk. Use Decisionpoint Systems Mean Deviation of 7.19, downside deviation of 11.58, and Semi Deviation of 11.39 to evaluate company specific risk that cannot be diversified away.
Decisionpoint Systems holds a performance score of 7 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -2.1772, which means a somewhat significant risk relative to the market. Let's try to break down what Decisionpoint's beta means in this case. As returns on the market increase, returns on owning Decisionpoint Systems are expected to decrease by larger amounts. On the other hand, during market turmoil, Decisionpoint Systems is expected to outperform it. Although it is vital to follow Decisionpoint Systems historical returns, it is good to be conservative about what you can do with the information regarding equity current trending patterns. Our philosophy in predicting future performance of any stock is to look not only at its past charts but also at the business as a whole, including all fundamental and technical indicators. To evaluate if Decisionpoint Systems expected return of 1.17 will be sustainable into the future, we have found twenty-eight different technical indicators, which can help you to check if the expected returns are sustainable. Use Decisionpoint Systems maximum drawdown, and the relationship between the information ratio and expected short fall to analyze future returns on Decisionpoint Systems.



Poor predictability

Decisionpoint Systems has poor predictability. Overlapping area represents the amount of predictability between Decisionpoint Systems time series from 13th of July 2022 to 28th of July 2022 and 28th of July 2022 to 12th of August 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 Decisionpoint Systems price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Decisionpoint Systems price fluctuation can be explain by its past prices.
Correlation Coefficient0.27
Spearman Rank Test0.46
Residual Average0.0
Price Variance0.32

Decisionpoint Systems lagged returns against current returns

Autocorrelation, which is Decisionpoint Systems stock'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 Decisionpoint Systems' stock expected returns. We can calculate the autocorrelation of Decisionpoint Systems returns to help us make a trade decision. For example, suppose you find that Decisionpoint Systems stock 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   

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

Decisionpoint Systems Lagged Returns

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

Decisionpoint Systems Investors Sentiment

The influence of Decisionpoint Systems' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Decisionpoint. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Decisionpoint Systems in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Decisionpoint Systems' short interest history, or implied volatility extrapolated from Decisionpoint Systems options trading.

Pair Trading with Decisionpoint Systems

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 Decisionpoint Systems 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 Decisionpoint Systems will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Decisionpoint Systems could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Decisionpoint Systems 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 Decisionpoint Systems - 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 Decisionpoint Systems to buy it.
The correlation of Decisionpoint Systems 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 Decisionpoint Systems moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Decisionpoint Systems 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 Decisionpoint Systems 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
Continue to Decisionpoint Systems Hype Analysis, Decisionpoint Systems Correlation, Decisionpoint Systems Valuation, Decisionpoint Systems Volatility, as well as analyze Decisionpoint Systems Alpha and Beta and Decisionpoint Systems Performance. Note that the Decisionpoint Systems information on this page should be used as a complementary analysis to other Decisionpoint Systems' 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 Analyst Recommendations module to analyst recommendations and target price estimates broken down by several categories.

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When running Decisionpoint Systems price analysis, check to measure Decisionpoint Systems' 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 Decisionpoint Systems is operating at the current time. Most of Decisionpoint Systems' value examination focuses on studying past and present price action to predict the probability of Decisionpoint Systems' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Decisionpoint Systems' price. Additionally, you may evaluate how the addition of Decisionpoint Systems to your portfolios can decrease your overall portfolio volatility.
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Decisionpoint Systems technical stock 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, stock market cycles, or different charting patterns.
A focus of Decisionpoint Systems technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Decisionpoint Systems 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...