Digitiliti Stock Market Value
| DIGI Stock | USD 0.0001 0.00 0.00% |
| Symbol | Digitiliti |
Digitiliti '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 Digitiliti's pink sheet 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 Digitiliti.
| 04/05/2024 |
| 05/05/2024 |
If you would invest 0.00 in Digitiliti on April 5, 2024 and sell it all today you would earn a total of 0.00 from holding Digitiliti or generate 0.0% return on investment in Digitiliti over 30 days. Digitiliti is related to or competes with FP Newspapers, Scholastic, Lee Enterprises, John Wiley, Gannett, Dallasnews Corp, and Pearson PLC. Digitiliti, Inc. provides online data protection solutions to the small and medium business and small to medium enterpri... More
Digitiliti 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 Digitiliti's pink sheet 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 Digitiliti upside and downside potential and time the market with a certain degree of confidence.
Digitiliti Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Digitiliti's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Digitiliti's standard deviation. In reality, there are many statistical measures that can use Digitiliti historical prices to predict the future Digitiliti's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Digitiliti'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.
Digitiliti Backtested Returns
We have found three technical indicators for Digitiliti, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Digitiliti are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Digitiliti has no correlation between past and present. Overlapping area represents the amount of predictability between Digitiliti time series from 5th of April 2024 to 20th of April 2024 and 20th of April 2024 to 5th of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Digitiliti price movement. The serial correlation of 0.0 indicates that just 0.0% of current Digitiliti price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Digitiliti lagged returns against current returns
Autocorrelation, which is Digitiliti pink sheet'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 Digitiliti's pink sheet expected returns. We can calculate the autocorrelation of Digitiliti returns to help us make a trade decision. For example, suppose you find that Digitiliti has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Digitiliti 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 Digitiliti pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Digitiliti pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Digitiliti pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Digitiliti Lagged Returns
When evaluating Digitiliti's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Digitiliti pink sheet have on its future price. Digitiliti 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, Digitiliti autocorrelation shows the relationship between Digitiliti pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Digitiliti.
Regressed Prices |
| Timeline |
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 Digitiliti 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, Digitiliti's short interest history, or implied volatility extrapolated from Digitiliti options trading.
Pair Trading with Digitiliti
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 Digitiliti 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 Digitiliti will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Digitiliti could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Digitiliti 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 Digitiliti - 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 Digitiliti to buy it.
The correlation of Digitiliti 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 Digitiliti moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Digitiliti 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 Digitiliti 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 Digitiliti Correlation, Digitiliti Volatility and Digitiliti Alpha and Beta module to complement your research on Digitiliti. Note that the Digitiliti information on this page should be used as a complementary analysis to other Digitiliti'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 the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Complementary Tools for Digitiliti Pink Sheet analysis
When running Digitiliti's price analysis, check to measure Digitiliti'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 Digitiliti is operating at the current time. Most of Digitiliti's value examination focuses on studying past and present price action to predict the probability of Digitiliti's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Digitiliti's price. Additionally, you may evaluate how the addition of Digitiliti to your portfolios can decrease your overall portfolio volatility.
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Digitiliti technical pink sheet 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, pink sheet market cycles, or different charting patterns.