Biomotion Sciences Ordinary Stock Market Value
| SLXN Stock | 2.36 0.06 2.48% |
| Symbol | Biomotion |
Biomotion Sciences 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 Biomotion Sciences. If investors know Biomotion 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 Biomotion Sciences listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Biomotion Sciences is measured differently than its book value, which is the value of Biomotion that is recorded on the company's balance sheet. Investors also form their own opinion of Biomotion Sciences' value that differs from its market value or its book value, called intrinsic value, which is Biomotion Sciences' 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 Biomotion Sciences' market value can be influenced by many factors that don't directly affect Biomotion Sciences' 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 Biomotion Sciences' value and its price as these two are different measures arrived at by different means. Investors typically determine if Biomotion Sciences is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Biomotion Sciences' 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.
Biomotion Sciences '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 Biomotion Sciences' 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 Biomotion Sciences.
| 06/28/2025 |
| 12/25/2025 |
If you would invest 0.00 in Biomotion Sciences on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding Biomotion Sciences Ordinary or generate 0.0% return on investment in Biomotion Sciences over 180 days. Biomotion Sciences is related to or competes with Indaptus Therapeutics, Salarius Pharmaceuticals, Scisparc, Lipella Pharmaceuticals, Jasper Therapeutics, Azitra, and Protagenic Therapeutics. Biomotion Sciences is entity of United States More
Biomotion Sciences 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 Biomotion Sciences' 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 Biomotion Sciences Ordinary upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 28.6 | |||
| Value At Risk | (7.61) | |||
| Potential Upside | 7.84 |
Biomotion Sciences Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Biomotion Sciences' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Biomotion Sciences' standard deviation. In reality, there are many statistical measures that can use Biomotion Sciences historical prices to predict the future Biomotion Sciences' volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.62) | |||
| Total Risk Alpha | (0.92) | |||
| Treynor Ratio | (0.23) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Biomotion Sciences' 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.
Biomotion Sciences Backtested Returns
Biomotion Sciences secures Sharpe Ratio (or Efficiency) of -0.11, which signifies that the company had a -0.11 % return per unit of risk over the last 3 months. Biomotion Sciences Ordinary exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Biomotion Sciences' Risk Adjusted Performance of (0.06), mean deviation of 3.43, and Standard Deviation of 5.11 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.16, which signifies 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, Biomotion Sciences will likely underperform. At this point, Biomotion Sciences has a negative expected return of -0.58%. Please make sure to confirm Biomotion Sciences' total risk alpha, accumulation distribution, as well as the relationship between the Accumulation Distribution and period momentum indicator , to decide if Biomotion Sciences performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.81 |
Very good predictability
Biomotion Sciences Ordinary has very good predictability. Overlapping area represents the amount of predictability between Biomotion Sciences time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th 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 Biomotion Sciences price movement. The serial correlation of 0.81 indicates that around 81.0% of current Biomotion Sciences price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.26 |
Biomotion Sciences lagged returns against current returns
Autocorrelation, which is Biomotion Sciences 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 Biomotion Sciences' stock expected returns. We can calculate the autocorrelation of Biomotion Sciences returns to help us make a trade decision. For example, suppose you find that Biomotion Sciences 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 |
Biomotion Sciences 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 Biomotion Sciences stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Biomotion Sciences stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Biomotion Sciences stock over time.
Current vs Lagged Prices |
| Timeline |
Biomotion Sciences Lagged Returns
When evaluating Biomotion Sciences' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Biomotion Sciences stock have on its future price. Biomotion Sciences 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, Biomotion Sciences autocorrelation shows the relationship between Biomotion Sciences stock current value and its past values and can show if there is a momentum factor associated with investing in Biomotion Sciences Ordinary.
Regressed Prices |
| Timeline |
Pair Trading with Biomotion Sciences
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Biomotion Sciences position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Biomotion Sciences will appreciate offsetting losses from the drop in the long position's value.Moving together with Biomotion Stock
Moving against Biomotion Stock
| 0.82 | DVAX | Dynavax Technologies Trending | PairCorr |
| 0.78 | VCYT | Veracyte | PairCorr |
| 0.77 | VCEL | Vericel Corp Ord | PairCorr |
| 0.69 | DSGN | Design Therapeutics | PairCorr |
| 0.67 | DNTH | Dianthus Therapeutics | PairCorr |
The ability to find closely correlated positions to Biomotion Sciences could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Biomotion Sciences when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Biomotion Sciences - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Biomotion Sciences Ordinary to buy it.
The correlation of Biomotion Sciences is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Biomotion Sciences moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Biomotion Sciences moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Biomotion Sciences can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Biomotion Sciences Correlation, Biomotion Sciences Volatility and Biomotion Sciences Alpha and Beta module to complement your research on Biomotion Sciences. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Biomotion Sciences 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.