Cerus Stock Forecast - Naive Prediction
| CERS Stock | USD 1.97 0.09 4.37% |
The Naive Prediction forecasted value of Cerus on the next trading day is expected to be 1.88 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.76. Cerus Stock Forecast is based on your current time horizon.
At this time The relative strength index (RSI) of Cerus' share price is above 80 suggesting that the stock is significantly overbought by investors. 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 98
Buy Peaked
Oversold | Overbought |
EPS Estimate Next Quarter (0.01) | EPS Estimate Current Year (0.08) | EPS Estimate Next Year (0.03) | Wall Street Target Price 4.6667 | Quarterly Revenue Growth 0.145 |
Using Cerus hype-based prediction, you can estimate the value of Cerus from the perspective of Cerus response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Cerus using Cerus' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Cerus using crowd psychology based on the activity and movement of Cerus' stock price.
Cerus Implied Volatility | 2.13 |
Cerus' implied volatility exposes the market's sentiment of Cerus stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Cerus' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Cerus stock will not fluctuate a lot when Cerus' options are near their expiration.
The Naive Prediction forecasted value of Cerus on the next trading day is expected to be 1.88 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.76. Cerus after-hype prediction price | USD 1.97 |
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.
Check out Historical Fundamental Analysis of Cerus to cross-verify your projections. Open Interest Against 2026-02-20 Cerus Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Cerus' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Cerus' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Cerus stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Cerus' open interest, investors have to compare it to Cerus' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Cerus is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Cerus. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Cerus Additional Predictive Modules
Most predictive techniques to examine Cerus price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Cerus using various technical indicators. When you analyze Cerus 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 |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Cerus' financial statements to predict how it will affect future prices.
Cash | First Reported 1997-03-31 | Previous Quarter 16 M | Current Value 15.7 M | Quarterly Volatility 22.4 M |
Cerus Naive Prediction Price Forecast For the 6th of January
Given 90 days horizon, the Naive Prediction forecasted value of Cerus on the next trading day is expected to be 1.88 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.76.Please note that although there have been many attempts to predict Cerus 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 Cerus' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Cerus Stock Forecast Pattern
| Backtest Cerus | Cerus Price Prediction | Buy or Sell Advice |
Cerus Forecasted Value
In the context of forecasting Cerus' 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. Cerus' downside and upside margins for the forecasting period are 0.02 and 6.81, respectively. We have considered Cerus' 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 Cerus stock data series using in forecasting. Note that when a statistical model is used to represent Cerus 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 | 112.9997 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0616 |
| MAPE | Mean absolute percentage error | 0.0354 |
| SAE | Sum of the absolute errors | 3.7565 |
Predictive Modules for Cerus
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cerus. 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 Cerus
For every potential investor in Cerus, whether a beginner or expert, Cerus' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Cerus Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Cerus. Basic forecasting techniques help filter out the noise by identifying Cerus' price trends.Cerus 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 Cerus stock to make a market-neutral strategy. Peer analysis of Cerus could also be used in its relative valuation, which is a method of valuing Cerus by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Cerus 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 Cerus' 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 Cerus' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Cerus Market Strength Events
Market strength indicators help investors to evaluate how Cerus stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Cerus shares will generate the highest return on investment. By undertsting and applying Cerus stock market strength indicators, traders can identify Cerus entry and exit signals to maximize returns.
Cerus Risk Indicators
The analysis of Cerus' 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 Cerus' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cerus 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 | 3.36 | |||
| Semi Deviation | 3.68 | |||
| Standard Deviation | 4.85 | |||
| Variance | 23.5 | |||
| Downside Variance | 16.39 | |||
| Semi Variance | 13.53 | |||
| Expected Short fall | (4.02) |
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.
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Additional Tools for Cerus Stock Analysis
When running Cerus' price analysis, check to measure Cerus' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Cerus is operating at the current time. Most of Cerus' value examination focuses on studying past and present price action to predict the probability of Cerus' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cerus' price. Additionally, you may evaluate how the addition of Cerus to your portfolios can decrease your overall portfolio volatility.