Biomotion Sciences Stock Forecast - Naive Prediction
| SLXN Stock | 2.11 0.13 5.80% |
The Naive Prediction forecasted value of Biomotion Sciences Ordinary on the next trading day is expected to be 2.66 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.36. Biomotion Stock Forecast is based on your current time horizon. Although Biomotion Sciences' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Biomotion Sciences' systematic risk associated with finding meaningful patterns of Biomotion Sciences fundamentals over time.
As of today the rsi of Biomotion Sciences' share price is below 20 . This usually implies that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
EPS Estimate Current Year (6.04) | EPS Estimate Next Year (4.39) | Wall Street Target Price 9 |
Using Biomotion Sciences hype-based prediction, you can estimate the value of Biomotion Sciences Ordinary from the perspective of Biomotion Sciences response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Biomotion Sciences Ordinary on the next trading day is expected to be 2.66 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.36. Biomotion Sciences after-hype prediction price | USD 1.92 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Biomotion | Build AI portfolio with Biomotion Stock |
Biomotion Sciences Additional Predictive Modules
Most predictive techniques to examine Biomotion price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Biomotion using various technical indicators. When you analyze Biomotion charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Biomotion Sciences Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Biomotion Sciences' financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2020-12-31 | Previous Quarter 3.5 M | Current Value 9.2 M | Quarterly Volatility 2.9 M |
Biomotion Sciences Naive Prediction Price Forecast For the 23rd of January
Given 90 days horizon, the Naive Prediction forecasted value of Biomotion Sciences Ordinary on the next trading day is expected to be 2.66 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.04, and the sum of the absolute errors of 10.36.Please note that although there have been many attempts to predict Biomotion Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Biomotion Sciences' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Biomotion Sciences Stock Forecast Pattern
| Backtest Biomotion Sciences | Biomotion Sciences Price Prediction | Buy or Sell Advice |
Biomotion Sciences Forecasted Value
In the context of forecasting Biomotion Sciences' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Biomotion Sciences' downside and upside margins for the forecasting period are 0.02 and 9.06, respectively. We have considered Biomotion Sciences' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Biomotion Sciences stock data series using in forecasting. Note that when a statistical model is used to represent Biomotion Sciences stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 116.8375 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1672 |
| MAPE | Mean absolute percentage error | 0.0678 |
| SAE | Sum of the absolute errors | 10.365 |
Predictive Modules for Biomotion Sciences
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Biomotion Sciences. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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.
Other Forecasting Options for Biomotion Sciences
For every potential investor in Biomotion, whether a beginner or expert, Biomotion Sciences' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Biomotion Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Biomotion. Basic forecasting techniques help filter out the noise by identifying Biomotion Sciences' price trends.Biomotion Sciences Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Biomotion Sciences stock to make a market-neutral strategy. Peer analysis of Biomotion Sciences could also be used in its relative valuation, which is a method of valuing Biomotion Sciences by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Biomotion Sciences Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Biomotion Sciences' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Biomotion Sciences' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Biomotion Sciences Market Strength Events
Market strength indicators help investors to evaluate how Biomotion Sciences stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Biomotion Sciences shares will generate the highest return on investment. By undertsting and applying Biomotion Sciences stock market strength indicators, traders can identify Biomotion Sciences Ordinary entry and exit signals to maximize returns.
| Accumulation Distribution | 3953.03 | |||
| Daily Balance Of Power | (0.48) | |||
| Rate Of Daily Change | 0.94 | |||
| Day Median Price | 2.17 | |||
| Day Typical Price | 2.15 | |||
| Price Action Indicator | (0.12) | |||
| Period Momentum Indicator | (0.13) |
Biomotion Sciences Risk Indicators
The analysis of Biomotion Sciences' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Biomotion Sciences' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting biomotion stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 4.03 | |||
| Standard Deviation | 6.17 | |||
| Variance | 38.09 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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
| 0.79 | DVAX | Dynavax Technologies | PairCorr |
| 0.71 | DSGN | Design Therapeutics | PairCorr |
| 0.68 | 0P6S | Bayer AG NA | PairCorr |
| 0.6 | VERA | Vera Therapeutics | PairCorr |
| 0.57 | DRTS | Alpha Tau Medical | 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 Historical Fundamental Analysis of Biomotion Sciences to cross-verify your projections. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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.