Hypercharge Networks Corp Stock Market Value
| HCNWF Stock | 0.05 0.01 14.81% |
| 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.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Hypercharge Networks on October 31, 2024 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 Canlan Ice, Sphere Entertainment, Avient Corp, CF Industries, Sensient Technologies, Dave Busters, and Axalta Coating. 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.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 40.0 | |||
| Value At Risk | (14.81) | |||
| Potential Upside | 10.0 |
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 | (0.03) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (1.72) | |||
| Treynor Ratio | 0.2566 |
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
Hypercharge Networks Corp holds Efficiency (Sharpe) Ratio of -0.0881, which attests that the entity had a -0.0881% return per unit of risk over the last 3 months. Hypercharge Networks Corp exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hypercharge Networks' Market Risk Adjusted Performance of 0.2666, risk adjusted performance of (0.03), and Standard Deviation of 7.97 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -1.51, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Hypercharge Networks are expected to decrease by larger amounts. On the other hand, during market turmoil, Hypercharge Networks is expected to outperform it. At this point, Hypercharge Networks Corp has a negative expected return of -0.67%. Please make sure to check out Hypercharge Networks' skewness, as well as the relationship between the day median price and relative strength index , to decide if Hypercharge Networks Corp performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.13 |
Insignificant predictability
Hypercharge Networks Corp has insignificant predictability. Overlapping area represents the amount of predictability between Hypercharge Networks time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Hypercharge Networks Corp price movement. The serial correlation of 0.13 indicates that less than 13.0% of current Hypercharge Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.05 | |
| 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.