Co Diagnostics Stock Forecast - Simple Exponential Smoothing
| C97 Stock | EUR 5.16 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of Co Diagnostics on the next trading day is expected to be 5.23 with a mean absolute deviation of 1.12 and the sum of the absolute errors of 67.45. C97 Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Co Diagnostics' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 13th of January 2026 the value of rsi of Co Diagnostics' share price is below 20 suggesting 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 |
Using Co Diagnostics hype-based prediction, you can estimate the value of Co Diagnostics from the perspective of Co Diagnostics response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Co Diagnostics on the next trading day is expected to be 5.23 with a mean absolute deviation of 1.12 and the sum of the absolute errors of 67.45. Co Diagnostics after-hype prediction price | EUR 5.16 |
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.
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Co Diagnostics Additional Predictive Modules
Most predictive techniques to examine C97 price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for C97 using various technical indicators. When you analyze C97 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 |
Co Diagnostics Simple Exponential Smoothing Price Forecast For the 14th of January 2026
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Co Diagnostics on the next trading day is expected to be 5.23 with a mean absolute deviation of 1.12, mean absolute percentage error of 9.22, and the sum of the absolute errors of 67.45.Please note that although there have been many attempts to predict C97 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 Co Diagnostics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Co Diagnostics Stock Forecast Pattern
| Backtest Co Diagnostics | Co Diagnostics Price Prediction | Buy or Sell Advice |
Co Diagnostics Forecasted Value
In the context of forecasting Co Diagnostics' 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. Co Diagnostics' downside and upside margins for the forecasting period are 0.05 and 43.70, respectively. We have considered Co Diagnostics' 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 Co Diagnostics stock data series using in forecasting. Note that when a statistical model is used to represent Co Diagnostics 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 | 118.494 |
| Bias | Arithmetic mean of the errors | 0.2389 |
| MAD | Mean absolute deviation | 1.1242 |
| MAPE | Mean absolute percentage error | 0.1054 |
| SAE | Sum of the absolute errors | 67.452 |
Predictive Modules for Co Diagnostics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Co Diagnostics. 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 Co Diagnostics
For every potential investor in C97, whether a beginner or expert, Co Diagnostics' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. C97 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in C97. Basic forecasting techniques help filter out the noise by identifying Co Diagnostics' price trends.Co Diagnostics 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 Co Diagnostics stock to make a market-neutral strategy. Peer analysis of Co Diagnostics could also be used in its relative valuation, which is a method of valuing Co Diagnostics by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Co Diagnostics 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 Co Diagnostics' 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 Co Diagnostics' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Co Diagnostics Market Strength Events
Market strength indicators help investors to evaluate how Co Diagnostics stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Co Diagnostics shares will generate the highest return on investment. By undertsting and applying Co Diagnostics stock market strength indicators, traders can identify Co Diagnostics entry and exit signals to maximize returns.
Co Diagnostics Risk Indicators
The analysis of Co Diagnostics' 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 Co Diagnostics' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting c97 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 | 11.7 | |||
| Semi Deviation | 9.81 | |||
| Standard Deviation | 36.47 | |||
| Variance | 1329.84 | |||
| Downside Variance | 130.07 | |||
| Semi Variance | 96.19 | |||
| Expected Short fall | (21.19) |
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 Information and Resources on Investing in C97 Stock
When determining whether Co Diagnostics offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Co Diagnostics' 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 Co Diagnostics Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Co Diagnostics Stock:Check out Historical Fundamental Analysis of Co Diagnostics to cross-verify your projections. For more detail on how to invest in C97 Stock please use our How to Invest in Co Diagnostics guide.You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.