Digitaltown Stock Market Value
DigitalTown's market value is the price at which a share of DigitalTown trades on a public exchange. It measures the collective expectations of DigitalTown investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of DigitalTown and determine expected loss or profit from investing in DigitalTown over a given investment horizon. Check out DigitalTown Correlation, DigitalTown Volatility and DigitalTown Alpha and Beta module to complement your research on DigitalTown.
| Symbol | DigitalTown |
DigitalTown '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 DigitalTown'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 DigitalTown.
| 03/27/2024 |
| 04/26/2024 |
If you would invest 0.00 in DigitalTown on March 27, 2024 and sell it all today you would earn a total of 0.00 from holding DigitalTown or generate 0.0% return on investment in DigitalTown over 30 days. DigitalTown is related to or competes with Salesforce, S A P, Intuit, ServiceNow, Uber Technologies, SAP SE, and Shopify. DigitalTown, Inc. provides integrated search, community, and commerce platform for Web and mobile devices More
DigitalTown 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 DigitalTown'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 DigitalTown upside and downside potential and time the market with a certain degree of confidence.
DigitalTown Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DigitalTown's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DigitalTown's standard deviation. In reality, there are many statistical measures that can use DigitalTown historical prices to predict the future DigitalTown's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DigitalTown'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.
DigitalTown Backtested Returns
We have found zero technical indicators for DigitalTown, 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 DigitalTown are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
DigitalTown has no correlation between past and present. Overlapping area represents the amount of predictability between DigitalTown time series from 27th of March 2024 to 11th of April 2024 and 11th of April 2024 to 26th of April 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 DigitalTown price movement. The serial correlation of 0.0 indicates that just 0.0% of current DigitalTown 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 |
DigitalTown lagged returns against current returns
Autocorrelation, which is DigitalTown 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 DigitalTown's pink sheet expected returns. We can calculate the autocorrelation of DigitalTown returns to help us make a trade decision. For example, suppose you find that DigitalTown 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 |
DigitalTown 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 DigitalTown pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DigitalTown pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DigitalTown pink sheet over time.
Current vs Lagged Prices |
| Timeline |
DigitalTown Lagged Returns
When evaluating DigitalTown's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DigitalTown pink sheet have on its future price. DigitalTown 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, DigitalTown autocorrelation shows the relationship between DigitalTown pink sheet current value and its past values and can show if there is a momentum factor associated with investing in DigitalTown.
Regressed Prices |
| Timeline |
Pair Trading with DigitalTown
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 DigitalTown 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 DigitalTown will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to DigitalTown could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DigitalTown 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 DigitalTown - 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 DigitalTown to buy it.
The correlation of DigitalTown 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 DigitalTown moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if DigitalTown 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 DigitalTown 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 DigitalTown Correlation, DigitalTown Volatility and DigitalTown Alpha and Beta module to complement your research on DigitalTown. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Complementary Tools for DigitalTown Pink Sheet analysis
When running DigitalTown's price analysis, check to measure DigitalTown'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 DigitalTown is operating at the current time. Most of DigitalTown's value examination focuses on studying past and present price action to predict the probability of DigitalTown's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DigitalTown's price. Additionally, you may evaluate how the addition of DigitalTown to your portfolios can decrease your overall portfolio volatility.
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DigitalTown 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.