Celestica Stock Forecast - Simple Exponential Smoothing
| CLS Stock | CAD 435.29 5.04 1.17% |
The Simple Exponential Smoothing forecasted value of Celestica on the next trading day is expected to be 435.29 with a mean absolute deviation of 15.95 and the sum of the absolute errors of 973.04. Celestica Stock Forecast is based on your current time horizon. Although Celestica's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Celestica's systematic risk associated with finding meaningful patterns of Celestica fundamentals over time.
As of today the relative strength index (rsi) of Celestica's 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 |
Quarterly Earnings Growth 2.08 | EPS Estimate Next Quarter 1.5226 | EPS Estimate Current Year 5.9267 | EPS Estimate Next Year 8.4188 | Wall Street Target Price 550.3565 |
Using Celestica hype-based prediction, you can estimate the value of Celestica from the perspective of Celestica response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Celestica on the next trading day is expected to be 435.29 with a mean absolute deviation of 15.95 and the sum of the absolute errors of 973.04. Celestica after-hype prediction price | CAD 435.29 |
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.
Celestica |
Celestica Additional Predictive Modules
Most predictive techniques to examine Celestica price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Celestica using various technical indicators. When you analyze Celestica 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 |
Celestica Simple Exponential Smoothing Price Forecast For the 17th of January 2026
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Celestica on the next trading day is expected to be 435.29 with a mean absolute deviation of 15.95, mean absolute percentage error of 447.65, and the sum of the absolute errors of 973.04.Please note that although there have been many attempts to predict Celestica 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 Celestica's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Celestica Stock Forecast Pattern
| Backtest Celestica | Celestica Price Prediction | Buy or Sell Advice |
Celestica Forecasted Value
In the context of forecasting Celestica's 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. Celestica's downside and upside margins for the forecasting period are 430.42 and 440.16, respectively. We have considered Celestica's 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 Celestica stock data series using in forecasting. Note that when a statistical model is used to represent Celestica 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 | 124.2145 |
| Bias | Arithmetic mean of the errors | -0.8387 |
| MAD | Mean absolute deviation | 15.9515 |
| MAPE | Mean absolute percentage error | 0.0369 |
| SAE | Sum of the absolute errors | 973.04 |
Predictive Modules for Celestica
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Celestica. 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 Celestica
For every potential investor in Celestica, whether a beginner or expert, Celestica's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Celestica Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Celestica. Basic forecasting techniques help filter out the noise by identifying Celestica's price trends.Celestica 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 Celestica stock to make a market-neutral strategy. Peer analysis of Celestica could also be used in its relative valuation, which is a method of valuing Celestica by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Celestica 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 Celestica's 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 Celestica's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Celestica Market Strength Events
Market strength indicators help investors to evaluate how Celestica stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Celestica shares will generate the highest return on investment. By undertsting and applying Celestica stock market strength indicators, traders can identify Celestica entry and exit signals to maximize returns.
| Accumulation Distribution | 17391.23 | |||
| Daily Balance Of Power | 0.261 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 438.77 | |||
| Day Typical Price | 437.61 | |||
| Price Action Indicator | (0.95) | |||
| Period Momentum Indicator | 5.04 |
Celestica Risk Indicators
The analysis of Celestica's 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 Celestica's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting celestica 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 | 3.58 | |||
| Semi Deviation | 4.97 | |||
| Standard Deviation | 4.83 | |||
| Variance | 23.33 | |||
| Downside Variance | 27.1 | |||
| Semi Variance | 24.67 | |||
| Expected Short fall | (3.59) |
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.
When determining whether Celestica is a strong investment it is important to analyze Celestica's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Celestica's future performance. For an informed investment choice regarding Celestica Stock, refer to the following important reports: Check out Historical Fundamental Analysis of Celestica to cross-verify your projections. To learn how to invest in Celestica Stock, please use our How to Invest in Celestica guide.You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.