Digitize For's market value is the price at which a share of Digitize For trades on a public exchange. It measures the collective expectations of Digitize for Investment investors about its performance. Digitize For is trading at 3.35 as of the 25th of November 2024. This is a 11.67% up since the beginning of the trading day. The stock's lowest day price was 3.0. With this module, you can estimate the performance of a buy and hold strategy of Digitize for Investment and determine expected loss or profit from investing in Digitize For over a given investment horizon. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
Digitize
Digitize For '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 Digitize For's 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 Digitize For.
0.00
10/26/2024
No Change 0.00
0.0
In 31 days
11/25/2024
0.00
If you would invest 0.00 in Digitize For on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Digitize for Investment or generate 0.0% return on investment in Digitize For over 30 days.
Digitize For 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 Digitize For's 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 Digitize for Investment upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Digitize For's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Digitize For's standard deviation. In reality, there are many statistical measures that can use Digitize For historical prices to predict the future Digitize For's volatility.
Digitize For is very risky given 3 months investment horizon. Digitize for Investment secures Sharpe Ratio (or Efficiency) of 0.36, which denotes the company had a 0.36% return per unit of risk over the last 3 months. We were able to analyze and collect data for thirty different technical indicators, which can help you to evaluate if expected returns of 1.84% are justified by taking the suggested risk. Use Digitize For Coefficient Of Variation of 407.25, mean deviation of 3.16, and Downside Deviation of 3.29 to evaluate company specific risk that cannot be diversified away. Digitize For holds a performance score of 28 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 0.89, which means possible diversification benefits within a given portfolio. Digitize For returns are very sensitive to returns on the market. As the market goes up or down, Digitize For is expected to follow. Use Digitize For semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and standard deviation , to analyze future returns on Digitize For.
Auto-correlation
0.72
Good predictability
Digitize for Investment has good predictability. Overlapping area represents the amount of predictability between Digitize For time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 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 Digitize for Investment price movement. The serial correlation of 0.72 indicates that around 72.0% of current Digitize For price fluctuation can be explain by its past prices.
Correlation Coefficient
0.72
Spearman Rank Test
0.88
Residual Average
0.0
Price Variance
0.04
Digitize for Investment lagged returns against current returns
Autocorrelation, which is Digitize For 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 Digitize For's stock expected returns. We can calculate the autocorrelation of Digitize For returns to help us make a trade decision. For example, suppose you find that Digitize For 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 price movement to match the lagging time series.
Current and Lagged Values
Timeline
Digitize For 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 Digitize For stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Digitize For stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Digitize For stock over time.
Current vs Lagged Prices
Timeline
Digitize For Lagged Returns
When evaluating Digitize For's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Digitize For stock have on its future price. Digitize For 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, Digitize For autocorrelation shows the relationship between Digitize For stock current value and its past values and can show if there is a momentum factor associated with investing in Digitize for Investment.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.