Sera Prognostics Stock Forecast - Simple Exponential Smoothing
| SERA Stock | USD 7.44 0.70 10.39% |
The Simple Exponential Smoothing forecasted value of Sera Prognostics on the next trading day is expected to be 7.34 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 15.78. Sera Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Sera Prognostics stock prices and determine the direction of Sera Prognostics's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Sera Prognostics' historical fundamentals, such as revenue growth or operating cash flow patterns.
Sera |
Sera Prognostics Simple Exponential Smoothing Price Forecast For the 12th of November 2024
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Sera Prognostics on the next trading day is expected to be 7.34 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.14, and the sum of the absolute errors of 15.78.Please note that although there have been many attempts to predict Sera 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 Sera Prognostics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Sera Prognostics Stock Forecast Pattern
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Sera Prognostics Forecasted Value
In the context of forecasting Sera Prognostics' 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. Sera Prognostics' downside and upside margins for the forecasting period are 2.29 and 12.39, respectively. We have considered Sera Prognostics' 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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Sera Prognostics stock data series using in forecasting. Note that when a statistical model is used to represent Sera Prognostics 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 | 114.2818 |
| Bias | Arithmetic mean of the errors | -0.0099 |
| MAD | Mean absolute deviation | 0.2629 |
| MAPE | Mean absolute percentage error | 0.0356 |
| SAE | Sum of the absolute errors | 15.7766 |
Predictive Modules for Sera Prognostics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sera Prognostics. 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.Other Forecasting Options for Sera Prognostics
For every potential investor in Sera, whether a beginner or expert, Sera Prognostics' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sera Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sera. Basic forecasting techniques help filter out the noise by identifying Sera Prognostics' price trends.Sera Prognostics 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 Sera Prognostics stock to make a market-neutral strategy. Peer analysis of Sera Prognostics could also be used in its relative valuation, which is a method of valuing Sera Prognostics by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Sera Prognostics 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 Sera Prognostics' 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 Sera Prognostics' current price.| Cycle Indicators | ||
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Sera Prognostics Market Strength Events
Market strength indicators help investors to evaluate how Sera Prognostics stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sera Prognostics shares will generate the highest return on investment. By undertsting and applying Sera Prognostics stock market strength indicators, traders can identify Sera Prognostics entry and exit signals to maximize returns.
Sera Prognostics Risk Indicators
The analysis of Sera Prognostics' 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 Sera Prognostics' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sera 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 | 3.65 | |||
| Semi Deviation | 4.41 | |||
| Standard Deviation | 5.04 | |||
| Variance | 25.37 | |||
| Downside Variance | 20.75 | |||
| Semi Variance | 19.43 | |||
| Expected Short fall | (4.15) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Sera Prognostics offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Sera Prognostics' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Sera Prognostics Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Sera Prognostics Stock:Check out Historical Fundamental Analysis of Sera Prognostics to cross-verify your projections. For information on how to trade Sera Stock refer to our How to Trade Sera Stock guide.You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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 Sera Prognostics. If investors know Sera 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 Sera Prognostics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.99) | Revenue Per Share 0.003 | Quarterly Revenue Growth (0.31) | Return On Assets (0.27) | Return On Equity (0.50) |
The market value of Sera Prognostics is measured differently than its book value, which is the value of Sera that is recorded on the company's balance sheet. Investors also form their own opinion of Sera Prognostics' value that differs from its market value or its book value, called intrinsic value, which is Sera Prognostics' 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 Sera Prognostics' market value can be influenced by many factors that don't directly affect Sera Prognostics' 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 Sera Prognostics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Sera Prognostics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sera Prognostics' 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.