Darkiris Class A Stock Market Value
| DKI Stock | 0.32 0.03 8.57% |
| Symbol | DarkIris |
DarkIris Class A Price To Book Ratio
Is Electronic Gaming & Multimedia space 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 DarkIris. If investors know DarkIris 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 DarkIris 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 0.307 | Earnings Share 0.07 | Revenue Per Share | Quarterly Revenue Growth 0.782 |
The market value of DarkIris Class A is measured differently than its book value, which is the value of DarkIris that is recorded on the company's balance sheet. Investors also form their own opinion of DarkIris' value that differs from its market value or its book value, called intrinsic value, which is DarkIris' 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 DarkIris' market value can be influenced by many factors that don't directly affect DarkIris' 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 DarkIris' value and its price as these two are different measures arrived at by different means. Investors typically determine if DarkIris is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DarkIris' 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.
DarkIris '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 DarkIris' 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 DarkIris.
| 11/25/2025 |
| 12/25/2025 |
If you would invest 0.00 in DarkIris on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding DarkIris Class A or generate 0.0% return on investment in DarkIris over 30 days. DarkIris is related to or competes with TNL Mediagene, Pop Culture, TEN Holdings,, Zeta Network, 36Kr Holdings, FAST TRACK, and PicoCELA American. DarkIris is entity of United States. It is traded as Stock on NASDAQ exchange. More
DarkIris 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 DarkIris' 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 DarkIris Class A upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 113.8 | |||
| Value At Risk | (10.87) | |||
| Potential Upside | 8.64 |
DarkIris Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DarkIris' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DarkIris' standard deviation. In reality, there are many statistical measures that can use DarkIris historical prices to predict the future DarkIris' volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (2.53) | |||
| Total Risk Alpha | (3.48) | |||
| Treynor Ratio | (0.97) |
DarkIris Class A Backtested Returns
DarkIris Class A secures Sharpe Ratio (or Efficiency) of -0.29, which denotes the company had a -0.29 % return per unit of risk over the last 3 months. DarkIris Class A exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DarkIris' Mean Deviation of 6.75, variance of 172.73, and Standard Deviation of 13.14 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.46, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, DarkIris will likely underperform. At this point, DarkIris Class A has a negative expected return of -3.54%. Please make sure to confirm DarkIris' potential upside, as well as the relationship between the daily balance of power and price action indicator , to decide if DarkIris Class A performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.41 |
Average predictability
DarkIris Class A has average predictability. Overlapping area represents the amount of predictability between DarkIris time series from 25th of November 2025 to 10th of December 2025 and 10th of December 2025 to 25th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of DarkIris Class A price movement. The serial correlation of 0.41 indicates that just about 41.0% of current DarkIris price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
DarkIris Class A lagged returns against current returns
Autocorrelation, which is DarkIris 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 DarkIris' stock expected returns. We can calculate the autocorrelation of DarkIris returns to help us make a trade decision. For example, suppose you find that DarkIris 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 |
DarkIris 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 DarkIris stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DarkIris stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DarkIris stock over time.
Current vs Lagged Prices |
| Timeline |
DarkIris Lagged Returns
When evaluating DarkIris' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DarkIris stock have on its future price. DarkIris 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, DarkIris autocorrelation shows the relationship between DarkIris stock current value and its past values and can show if there is a momentum factor associated with investing in DarkIris Class A.
Regressed Prices |
| Timeline |
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Check out DarkIris Correlation, DarkIris Volatility and DarkIris Alpha and Beta module to complement your research on DarkIris. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
DarkIris 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.