Scisparc Stock Market Value
| SPRC Stock | USD 1.51 0.04 2.72% |
| Symbol | Scisparc |
Scisparc Price To Book Ratio
Is Biotechnology space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Scisparc. If investors know Scisparc will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Scisparc listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 350.73 | Revenue Per Share | Quarterly Revenue Growth (0.45) | Return On Assets | Return On Equity |
The market value of Scisparc is measured differently than its book value, which is the value of Scisparc that is recorded on the company's balance sheet. Investors also form their own opinion of Scisparc's value that differs from its market value or its book value, called intrinsic value, which is Scisparc's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Scisparc's market value can be influenced by many factors that don't directly affect Scisparc's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Scisparc's value and its price as these two are different measures arrived at by different means. Investors typically determine if Scisparc is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Scisparc's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Scisparc '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 Scisparc's 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 Scisparc.
| 12/09/2025 |
| 01/08/2026 |
If you would invest 0.00 in Scisparc on December 9, 2025 and sell it all today you would earn a total of 0.00 from holding Scisparc or generate 0.0% return on investment in Scisparc over 30 days. Scisparc is related to or competes with Indaptus Therapeutics, Salarius Pharmaceuticals, Biomotion Sciences, Lipella Pharmaceuticals, Jasper Therapeutics, Onconetix, and Azitra. SciSparc Ltd., a specialty clinical-stage pharmaceutical company, develops drugs based on cannabinoid molecules More
Scisparc 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 Scisparc's 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 Scisparc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.24) | |||
| Maximum Drawdown | 40.71 | |||
| Value At Risk | (11.48) | |||
| Potential Upside | 11.44 |
Scisparc Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scisparc's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scisparc's standard deviation. In reality, there are many statistical measures that can use Scisparc historical prices to predict the future Scisparc's volatility.| Risk Adjusted Performance | (0.16) | |||
| Jensen Alpha | (1.61) | |||
| Total Risk Alpha | (2.09) | |||
| Treynor Ratio | (0.95) |
Scisparc Backtested Returns
Scisparc owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.2, which indicates the firm had a -0.2 % return per unit of risk over the last 3 months. Scisparc exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Scisparc's Coefficient Of Variation of (445.88), variance of 44.93, and Risk Adjusted Performance of (0.16) to confirm the risk estimate we provide. The entity has a beta of 1.58, 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, Scisparc will likely underperform. At this point, Scisparc has a negative expected return of -1.37%. Please make sure to validate Scisparc's maximum drawdown, as well as the relationship between the accumulation distribution and day typical price , to decide if Scisparc performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.41 |
Modest reverse predictability
Scisparc has modest reverse predictability. Overlapping area represents the amount of predictability between Scisparc time series from 9th of December 2025 to 24th of December 2025 and 24th of December 2025 to 8th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Scisparc price movement. The serial correlation of -0.41 indicates that just about 41.0% of current Scisparc price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.41 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Scisparc lagged returns against current returns
Autocorrelation, which is Scisparc 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 Scisparc's stock expected returns. We can calculate the autocorrelation of Scisparc returns to help us make a trade decision. For example, suppose you find that Scisparc has exhibited high autocorrelation historically, and you observe that the 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 |
Scisparc 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 Scisparc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Scisparc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Scisparc stock over time.
Current vs Lagged Prices |
| Timeline |
Scisparc Lagged Returns
When evaluating Scisparc's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Scisparc stock have on its future price. Scisparc 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, Scisparc autocorrelation shows the relationship between Scisparc stock current value and its past values and can show if there is a momentum factor associated with investing in Scisparc.
Regressed Prices |
| Timeline |
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Check out Scisparc Correlation, Scisparc Volatility and Scisparc Alpha and Beta module to complement your research on Scisparc. For information on how to trade Scisparc Stock refer to our How to Trade Scisparc Stock guide.You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Scisparc technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.