Hypercharge Networks Corp Stock Market Value
| HCNWF Stock | 0.04 0.0001 0.24% |
| Symbol | Hypercharge |
Hypercharge Networks '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 Hypercharge Networks' 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 Hypercharge Networks.
| 01/30/2025 |
| 03/01/2025 |
If you would invest 0.00 in Hypercharge Networks on January 30, 2025 and sell it all today you would earn a total of 0.00 from holding Hypercharge Networks Corp or generate 0.0% return on investment in Hypercharge Networks over 30 days. Hypercharge Networks is related to or competes with Pfizer, American Express, Alcoa Corp, Cisco Systems, GE Aerospace, Home Depot, and Walmart. More
Hypercharge Networks 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 Hypercharge Networks' 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 Hypercharge Networks Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.04 | |||
| Information Ratio | 0.0097 | |||
| Maximum Drawdown | 39.28 | |||
| Value At Risk | (14.81) | |||
| Potential Upside | 13.95 |
Hypercharge Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hypercharge Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hypercharge Networks' standard deviation. In reality, there are many statistical measures that can use Hypercharge Networks historical prices to predict the future Hypercharge Networks' volatility.| Risk Adjusted Performance | 0.0152 | |||
| Jensen Alpha | 0.0441 | |||
| Total Risk Alpha | 0.3282 | |||
| Sortino Ratio | 0.0092 | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hypercharge Networks' 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.
Hypercharge Networks Corp Backtested Returns
At this point, Hypercharge Networks is out of control. Hypercharge Networks Corp holds Efficiency (Sharpe) Ratio of close to zero, which attests that the entity had a close to zero % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Hypercharge Networks Corp, which you can use to evaluate the volatility of the firm. Please check out Hypercharge Networks' Risk Adjusted Performance of 0.0152, market risk adjusted performance of (0.08), and Downside Deviation of 9.04 to validate if the risk estimate we provide is consistent with the expected return of 0.0296%. The company retains a Market Volatility (i.e., Beta) of -0.7, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Hypercharge Networks are expected to decrease at a much lower rate. During the bear market, Hypercharge Networks is likely to outperform the market. Hypercharge Networks Corp right now retains a risk of 8.47%. Please check out Hypercharge Networks maximum drawdown, as well as the relationship between the expected short fall and day median price , to decide if Hypercharge Networks will be following its current trending patterns.
Auto-correlation | -0.09 |
Very weak reverse predictability
Hypercharge Networks Corp has very weak reverse predictability. Overlapping area represents the amount of predictability between Hypercharge Networks time series from 30th of January 2025 to 14th of February 2025 and 14th of February 2025 to 1st of March 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 Hypercharge Networks Corp price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Hypercharge Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Hypercharge Networks Corp lagged returns against current returns
Autocorrelation, which is Hypercharge Networks 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 Hypercharge Networks' pink sheet expected returns. We can calculate the autocorrelation of Hypercharge Networks returns to help us make a trade decision. For example, suppose you find that Hypercharge Networks 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 |
Hypercharge Networks 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 Hypercharge Networks pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hypercharge Networks pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hypercharge Networks pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Hypercharge Networks Lagged Returns
When evaluating Hypercharge Networks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hypercharge Networks pink sheet have on its future price. Hypercharge Networks 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, Hypercharge Networks autocorrelation shows the relationship between Hypercharge Networks pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Hypercharge Networks Corp.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Hypercharge Pink Sheet
Hypercharge Networks financial ratios help investors to determine whether Hypercharge 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 Hypercharge with respect to the benefits of owning Hypercharge Networks security.