Bruker Stock Forecast - Simple Moving Average

BRKR Stock  USD 55.92  0.10  0.18%   
The Simple Moving Average forecasted value of Bruker on the next trading day is expected to be 55.97 with a mean absolute deviation of 1.13 and the sum of the absolute errors of 66.81. Bruker Stock Forecast is based on your current time horizon. Although Bruker's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Bruker's systematic risk associated with finding meaningful patterns of Bruker fundamentals over time.
  
As of 11/13/2024, Payables Turnover is likely to grow to 7.41, while Inventory Turnover is likely to drop 1.26. . As of 11/13/2024, Net Income Applicable To Common Shares is likely to grow to about 358.1 M, while Common Stock Shares Outstanding is likely to drop slightly above 143.8 M.

Open Interest Against 2024-11-15 Bruker Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Bruker's 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 Bruker's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Bruker 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 Bruker's open interest, investors have to compare it to Bruker's 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 Bruker 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 Bruker. 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.
A two period moving average forecast for Bruker is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Bruker Simple Moving Average Price Forecast For the 14th of November 2024

Given 90 days horizon, the Simple Moving Average forecasted value of Bruker on the next trading day is expected to be 55.97 with a mean absolute deviation of 1.13, mean absolute percentage error of 1.90, and the sum of the absolute errors of 66.81.
Please note that although there have been many attempts to predict Bruker 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 Bruker's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bruker Stock Forecast Pattern

Backtest BrukerBruker Price PredictionBuy or Sell Advice 

Bruker Forecasted Value

In the context of forecasting Bruker'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. Bruker's downside and upside margins for the forecasting period are 53.92 and 58.02, respectively. We have considered Bruker'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.
Market Value
55.92
55.97
Expected Value
58.02
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Bruker stock data series using in forecasting. Note that when a statistical model is used to represent Bruker 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.
AICAkaike Information Criteria115.0777
BiasArithmetic mean of the errors 0.2303
MADMean absolute deviation1.1323
MAPEMean absolute percentage error0.0179
SAESum of the absolute errors66.805
The simple moving average model is conceptually a linear regression of the current value of Bruker price series against current and previous (unobserved) value of Bruker. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Bruker

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bruker. 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.
Hype
Prediction
LowEstimatedHigh
53.9756.0358.09
Details
Intrinsic
Valuation
LowRealHigh
50.4260.1862.24
Details
Bollinger
Band Projection (param)
LowMiddleHigh
55.2959.9564.60
Details
13 Analysts
Consensus
LowTargetHigh
70.7877.7886.34
Details

Other Forecasting Options for Bruker

For every potential investor in Bruker, whether a beginner or expert, Bruker's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Bruker Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bruker. Basic forecasting techniques help filter out the noise by identifying Bruker's price trends.

View Bruker Related Equities

 Risk & Return  Correlation

Bruker 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 Bruker'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 Bruker's current price.

Bruker Market Strength Events

Market strength indicators help investors to evaluate how Bruker stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bruker shares will generate the highest return on investment. By undertsting and applying Bruker stock market strength indicators, traders can identify Bruker entry and exit signals to maximize returns.

Bruker Risk Indicators

The analysis of Bruker'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 Bruker's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bruker 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.
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 Bruker

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 Bruker 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 Bruker will appreciate offsetting losses from the drop in the long position's value.

Moving together with Bruker Stock

  0.78A Agilent Technologies Sell-off TrendPairCorr
  0.74ME 23Andme HoldingPairCorr

Moving against Bruker Stock

  0.79DRUG Bright Minds BiosciencesPairCorr
  0.47VERV Verve Therapeutics Sell-off TrendPairCorr
  0.34VANI Vivani MedicalPairCorr
  0.33VCYT VeracytePairCorr
The ability to find closely correlated positions to Bruker could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bruker 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 Bruker - 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 Bruker to buy it.
The correlation of Bruker 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 Bruker moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bruker 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 Bruker 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.
Pair CorrelationCorrelation Matching

Additional Tools for Bruker Stock Analysis

When running Bruker's price analysis, check to measure Bruker's 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 Bruker is operating at the current time. Most of Bruker's value examination focuses on studying past and present price action to predict the probability of Bruker's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bruker's price. Additionally, you may evaluate how the addition of Bruker to your portfolios can decrease your overall portfolio volatility.