Surge Technologies Stock Market Value
| STCI Stock | 0.0005 0.0004 400.00% |
| Symbol | Surge |
Surge 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 Surge 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 Surge Technologies.
| 12/31/2024 |
| 12/26/2025 |
If you would invest 0.00 in Surge Technologies on December 31, 2024 and sell it all today you would earn a total of 0.00 from holding Surge Technologies or generate 0.0% return on investment in Surge Technologies over 360 days. More
Surge 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 Surge 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 Surge Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1215 | |||
| Maximum Drawdown | 400.0 |
Surge Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Surge Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Surge Technologies' standard deviation. In reality, there are many statistical measures that can use Surge Technologies historical prices to predict the future Surge Technologies' volatility.| Risk Adjusted Performance | 0.0965 | |||
| Jensen Alpha | 5.71 | |||
| Total Risk Alpha | 1.14 | |||
| Treynor Ratio | 1.24 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Surge 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.
Surge Technologies Backtested Returns
Surge Technologies is out of control given 3 months investment horizon. Surge Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the firm had a 0.13 % return per unit of risk over the last 3 months. We were able to break down nineteen different technical indicators, which can help you to evaluate if expected returns of 6.35% are justified by taking the suggested risk. Use Surge Technologies Variance of 2424.24, risk adjusted performance of 0.0965, and Coefficient Of Variation of 812.4 to evaluate company specific risk that cannot be diversified away. Surge Technologies holds a performance score of 10 on a scale of zero to a hundred. The entity has a beta of 4.88, which indicates 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, Surge Technologies will likely underperform. Use Surge Technologies total risk alpha, rate of daily change, as well as the relationship between the Rate Of Daily Change and period momentum indicator , to analyze future returns on Surge Technologies.
Auto-correlation | 1.00 |
Perfect predictability
Surge Technologies has perfect predictability. Overlapping area represents the amount of predictability between Surge Technologies time series from 31st of December 2024 to 29th of June 2025 and 29th of June 2025 to 26th 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 Surge Technologies price movement. The serial correlation of 1.0 indicates that 100.0% of current Surge Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Surge Technologies lagged returns against current returns
Autocorrelation, which is Surge 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 Surge Technologies' otc stock expected returns. We can calculate the autocorrelation of Surge Technologies returns to help us make a trade decision. For example, suppose you find that Surge 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 |
| Timeline |
Surge 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 Surge Technologies otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Surge 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 Surge Technologies otc stock over time.
Current vs Lagged Prices |
| Timeline |
Surge Technologies Lagged Returns
When evaluating Surge Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Surge Technologies otc stock have on its future price. Surge 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, Surge Technologies autocorrelation shows the relationship between Surge Technologies otc stock current value and its past values and can show if there is a momentum factor associated with investing in Surge Technologies.
Regressed Prices |
| Timeline |
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Other Information on Investing in Surge OTC Stock
Surge Technologies financial ratios help investors to determine whether Surge OTC Stock 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 Surge with respect to the benefits of owning Surge Technologies security.