Shorepower Technologies Stock Market Value
| SPEV Stock | 0.04 0.01 12.50% |
| Symbol | Shorepower |
Shorepower Technologies '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 Shorepower Technologies' otc 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 Shorepower Technologies.
| 12/24/2022 |
| 12/13/2024 |
If you would invest 0.00 in Shorepower Technologies on December 24, 2022 and sell it all today you would earn a total of 0.00 from holding Shorepower Technologies or generate 0.0% return on investment in Shorepower Technologies over 720 days.
Shorepower Technologies 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 Shorepower Technologies' otc 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 Shorepower Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 25.34 | |||
| Information Ratio | 0.0917 | |||
| Maximum Drawdown | 140.0 | |||
| Value At Risk | (22.22) | |||
| Potential Upside | 20.0 |
Shorepower Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Shorepower Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Shorepower Technologies' standard deviation. In reality, there are many statistical measures that can use Shorepower Technologies historical prices to predict the future Shorepower Technologies' volatility.| Risk Adjusted Performance | 0.0801 | |||
| Jensen Alpha | 2.12 | |||
| Total Risk Alpha | (0.93) | |||
| Sortino Ratio | 0.0771 | |||
| Treynor Ratio | (3.19) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Shorepower Technologies' 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.
Shorepower Technologies Backtested Returns
Shorepower Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0992, which indicates the firm had a 0.0992% return per unit of risk over the last 3 months. We were able to analyze and collect data for twenty-seven different technical indicators, which can help you to evaluate if expected returns of 2.16% are justified by taking the suggested risk. Use Shorepower Technologies Coefficient Of Variation of 1031.4, risk adjusted performance of 0.0801, and Semi Deviation of 9.38 to evaluate company specific risk that cannot be diversified away. Shorepower Technologies holds a performance score of 7 on a scale of zero to a hundred. The entity has a beta of -0.64, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Shorepower Technologies are expected to decrease at a much lower rate. During the bear market, Shorepower Technologies is likely to outperform the market. Use Shorepower Technologies jensen alpha, potential upside, as well as the relationship between the Potential Upside and daily balance of power , to analyze future returns on Shorepower Technologies.
Auto-correlation | 0.17 |
Very weak predictability
Shorepower Technologies has very weak predictability. Overlapping area represents the amount of predictability between Shorepower Technologies time series from 24th of December 2022 to 19th of December 2023 and 19th of December 2023 to 13th of December 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 Shorepower Technologies price movement. The serial correlation of 0.17 indicates that over 17.0% of current Shorepower Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Shorepower Technologies lagged returns against current returns
Autocorrelation, which is Shorepower Technologies otc 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 Shorepower Technologies' otc stock expected returns. We can calculate the autocorrelation of Shorepower Technologies returns to help us make a trade decision. For example, suppose you find that Shorepower Technologies has exhibited high autocorrelation historically, and you observe that the otc 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 |
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Shorepower Technologies 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 Shorepower Technologies otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Shorepower Technologies otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Shorepower Technologies otc stock over time.
Current vs Lagged Prices |
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Shorepower Technologies Lagged Returns
When evaluating Shorepower Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Shorepower Technologies otc stock have on its future price. Shorepower Technologies 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, Shorepower Technologies autocorrelation shows the relationship between Shorepower Technologies otc stock current value and its past values and can show if there is a momentum factor associated with investing in Shorepower Technologies.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Shorepower OTC Stock Analysis
When running Shorepower Technologies' price analysis, check to measure Shorepower Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Shorepower Technologies is operating at the current time. Most of Shorepower Technologies' value examination focuses on studying past and present price action to predict the probability of Shorepower Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shorepower Technologies' price. Additionally, you may evaluate how the addition of Shorepower Technologies to your portfolios can decrease your overall portfolio volatility.