Alpha Esports Tech Stock Market Value
| APETF Stock | USD 0.02 0.0006 3.59% |
| Symbol | Alpha |
Alpha Esports '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 Alpha Esports' 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 Alpha Esports.
| 09/03/2024 |
| 01/31/2025 |
If you would invest 0.00 in Alpha Esports on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Alpha Esports Tech or generate 0.0% return on investment in Alpha Esports over 150 days. Alpha Esports is related to or competes with IGG, and Leaf Mobile. Alpha Esports Tech Inc. operates an online Esports arena and platform in North America and internationally More
Alpha Esports 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 Alpha Esports' 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 Alpha Esports Tech upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 17.17 | |||
| Information Ratio | 0.1374 | |||
| Maximum Drawdown | 99.63 | |||
| Value At Risk | (21.43) | |||
| Potential Upside | 48.78 |
Alpha Esports Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpha Esports' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpha Esports' standard deviation. In reality, there are many statistical measures that can use Alpha Esports historical prices to predict the future Alpha Esports' volatility.| Risk Adjusted Performance | 0.1287 | |||
| Jensen Alpha | 2.56 | |||
| Total Risk Alpha | 0.6574 | |||
| Sortino Ratio | 0.1527 | |||
| Treynor Ratio | 1.61 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alpha Esports' 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.
Alpha Esports Tech Backtested Returns
Alpha Esports is out of control given 3 months investment horizon. Alpha Esports Tech secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 3.1% are justified by taking the suggested risk. Use Alpha Esports Risk Adjusted Performance of 0.1287, downside deviation of 17.17, and Mean Deviation of 13.57 to evaluate company specific risk that cannot be diversified away. Alpha Esports holds a performance score of 12 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 1.68, which signifies 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, Alpha Esports will likely underperform. Use Alpha Esports sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to analyze future returns on Alpha Esports.
Auto-correlation | -0.6 |
Good reverse predictability
Alpha Esports Tech has good reverse predictability. Overlapping area represents the amount of predictability between Alpha Esports time series from 3rd of September 2024 to 17th of November 2024 and 17th of November 2024 to 31st of January 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 Alpha Esports Tech price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current Alpha Esports price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.6 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Alpha Esports Tech lagged returns against current returns
Autocorrelation, which is Alpha Esports 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 Alpha Esports' pink sheet expected returns. We can calculate the autocorrelation of Alpha Esports returns to help us make a trade decision. For example, suppose you find that Alpha Esports 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 |
Alpha Esports 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 Alpha Esports pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpha Esports pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alpha Esports pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Alpha Esports Lagged Returns
When evaluating Alpha Esports' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpha Esports pink sheet have on its future price. Alpha Esports 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, Alpha Esports autocorrelation shows the relationship between Alpha Esports pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Alpha Esports Tech.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Alpha Pink Sheet
Alpha Esports financial ratios help investors to determine whether Alpha Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Alpha with respect to the benefits of owning Alpha Esports security.